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Showing 293 publications by David Clifton

SeroTracker-RoB: a decision rule-based algorithm for reproducible risk of bias assessment of seroprevalence studies.

Bobrovitz N, Noël K, Li Z, Cao C, Deveaux G et al. (2023), Research synthesis methods

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@article{serotrackerroba-2023/1,
  title={SeroTracker-RoB: a decision rule-based algorithm for reproducible risk of bias assessment of seroprevalence studies.},
  author={Bobrovitz N, Noël K, Li Z, Cao C, Deveaux G et al.},
  journal={Research synthesis methods},
  year = "2023"
}

Patient Clustering for Vital Organ Failure Using ICD Code with Graph Attention

Liu Z, Hu Y, Wu X, Mertes G, Yang Y et al. (2023), IEEE Transactions on Biomedical Engineering

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@article{patientclusteri-2023/1,
  title={Patient Clustering for Vital Organ Failure Using ICD Code with Graph Attention},
  author={Liu Z, Hu Y, Wu X, Mertes G, Yang Y et al.},
  journal={IEEE Transactions on Biomedical Engineering},
  year = "2023"
}

Self-Aware SGD: Reliable Incremental Adaptation Framework For Clinical AI Models

Thakur A, Armstrong J, Youssef A, Eyre D & Clifton DA (2023), IEEE Journal of Biomedical and Health Informatics, 1-11

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@article{selfawaresgdrel-2023/1,
  title={Self-Aware SGD: Reliable Incremental Adaptation Framework For Clinical AI Models},
  author={Thakur A, Armstrong J, Youssef A, Eyre D & Clifton DA},
  journal={IEEE Journal of Biomedical and Health Informatics},
  pages={1-11},
  publisher={Institute of Electrical and Electronics Engineers (IEEE)},
  year = "2023"
}

Graph representation learning based on deep generative gaussian mixture models

Niknam G, Molaei S, Zare H, Clifton D & Pan S (2022), Neurocomputing, 523, 157-169

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@article{graphrepresenta-2022/12,
  title={Graph representation learning based on deep generative gaussian mixture models},
  author={Niknam G, Molaei S, Zare H, Clifton D & Pan S},
  journal={Neurocomputing},
  volume={523},
  pages={157-169},
  publisher={Elsevier},
  year = "2022"
}

Wearable vital signs monitoring for patients with asthma: a review

Talyor L, Ding X, Clifton D & Lu HY (2022), IEEE Sensors Journal

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@article{wearablevitalsi-2022/12,
  title={Wearable vital signs monitoring for patients with asthma: a review},
  author={Talyor L, Ding X, Clifton D & Lu HY},
  journal={IEEE Sensors Journal},
  publisher={IEEE},
  year = "2022"
}

Serology Assays Used in SARS-CoV-2 Seroprevalence Surveys Worldwide: A Systematic Review and Meta-Analysis of Assay Features, Testing Algorithms, and Performance.

Ma X, Li Z, Whelan MG, Kim D, Cao C et al. (2022), Vaccines, 10(12), 2000

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@article{serologyassaysu-2022/11,
  title={Serology Assays Used in SARS-CoV-2 Seroprevalence Surveys Worldwide: A Systematic Review and Meta-Analysis of Assay Features, Testing Algorithms, and Performance. },
  author={Ma X, Li Z, Whelan MG, Kim D, Cao C et al.},
  journal={Vaccines},
  volume={10},
  pages={2000},
  year = "2022"
}

Global SARS-CoV-2 seroprevalence from January 2020 to April 2022: A systematic review and meta-analysis of standardized population-based studies.

Bergeri I, Whelan MG, Ware H, Subissi L, Nardone A et al. (2022), PLoS medicine, 19(11), e1004107

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@article{globalsarscovse-2022/11,
  title={Global SARS-CoV-2 seroprevalence from January 2020 to April 2022: A systematic review and meta-analysis of standardized population-based studies.},
  author={Bergeri I, Whelan MG, Ware H, Subissi L, Nardone A et al.},
  journal={PLoS medicine},
  volume={19},
  pages={e1004107},
  year = "2022"
}

Improving classification of tetanus severity for patients in low-middle income countries wearing ECG sensors by using a CNN-transformer network

Lu P, Wang C, Hagenah J, Ghiasi S, Zhu T et al. (2022), IEEE Transactions on Biomedical Engineering

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@article{improvingclassi-2022/10,
  title={Improving classification of tetanus severity for patients in low-middle income countries wearing ECG sensors by using a CNN-transformer network},
  author={Lu P, Wang C, Hagenah J, Ghiasi S, Zhu T et al.},
  journal={IEEE Transactions on Biomedical Engineering},
  publisher={IEEE},
  year = "2022"
}

Publisher Correction: Reporting guideline for the early-stage clinical evaluation of decision support systems driven by artificial intelligence: DECIDE-AI.

Vasey B, Nagendran M, Campbell B, Clifton DA, Collins GS et al. (2022), Nature medicine, 28(10), 2218

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@article{publishercorrec-2022/10,
  title={Publisher Correction: Reporting guideline for the early-stage clinical evaluation of decision support systems driven by artificial intelligence: DECIDE-AI.},
  author={Vasey B, Nagendran M, Campbell B, Clifton DA, Collins GS et al.},
  journal={Nature medicine},
  volume={28},
  pages={2218},
  year = "2022"
}

Adversarial de-confounding in individualised treatment effects estimation

Kumar V, Molaei S, Hoque Tania M, Thakur A, Zhu T et al. (2022), arXiv

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@inproceedings{adversarialdeco-2022/10,
  title={Adversarial de-confounding in individualised treatment effects estimation},
  author={Kumar V, Molaei S, Hoque Tania M, Thakur A, Zhu T et al.},
  year = "2022"
}

Timeliness of reporting of SARS-CoV-2 seroprevalence results and their utility for infectious disease surveillance.

Donnici C, Ilincic N, Cao C, Zhang C, Deveaux G et al. (2022), Epidemics, 41, 100645

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@article{timelinessofrep-2022/10,
  title={Timeliness of reporting of SARS-CoV-2 seroprevalence results and their utility for infectious disease surveillance.},
  author={Donnici C, Ilincic N, Cao C, Zhang C, Deveaux G et al.},
  journal={Epidemics},
  volume={41},
  pages={100645},
  year = "2022"
}

A distribution-based selective optimization method for eliminating periodic defects in harmonic signals

Xin Q-Y, Pei Y-C, Lu H, Clifton D, Wang B et al. (2022), Mechanical Systems and Signal Processing, 185

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@article{adistributionba-2022/9,
  title={A distribution-based selective optimization method for eliminating periodic defects in harmonic signals},
  author={Xin Q-Y, Pei Y-C, Lu H, Clifton D, Wang B et al.},
  journal={Mechanical Systems and Signal Processing},
  volume={185},
  number={109781},
  publisher={Elsevier},
  year = "2022"
}

Spectrum estimation of heart rate variability using low-rank matrix completion

Lu L, Zhu T, Zhang Y-T & Clifton DA (2022), Proceedings of the 2022 IEEE-EMBS International Conference on Biomedical and Health Informatics (BHI 2022), 01-04

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@inproceedings{spectrumestimat-2022/9,
  title={Spectrum estimation of heart rate variability using low-rank matrix completion},
  author={Lu L, Zhu T, Zhang Y-T & Clifton DA},
  booktitle={2022 IEEE-EMBS International Conference on Biomedical and Health Informatics (BHI 2022)},
  pages={01-04},
  year = "2022"
}

Classification of Tetanus Severity in Intensive-Care Settings for Low-Income Countries Using Wearable Sensing.

Lu P, Ghiasi S, Hagenah J, Hai HB, Hao NV et al. (2022), Sensors (Basel, Switzerland), 22(17), 6554

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@article{classificationo-2022/8,
  title={Classification of Tetanus Severity in Intensive-Care Settings for Low-Income Countries Using Wearable Sensing.},
  author={Lu P, Ghiasi S, Hagenah J, Hai HB, Hao NV et al.},
  journal={Sensors (Basel, Switzerland)},
  volume={22},
  number={ARTN 6554},
  pages={6554},
  year = "2022"
}

Omicron-associated changes in SARS-CoV-2 symptoms in the United Kingdom

Vihta K, Pouwels K, Peto T, Pritchard E, House T et al. (2022), Clinical Infectious Diseases

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@article{omicronassociat-2022/8,
  title={Omicron-associated changes in SARS-CoV-2 symptoms in the United Kingdom},
  author={Vihta K, Pouwels K, Peto T, Pritchard E, House T et al.},
  journal={Clinical Infectious Diseases},
  number={ciac613},
  publisher={Oxford University Press},
  year = "2022"
}

Prognostic model for atrial fibrillation after cardiac surgery: a UK cohort study

Chung S-C, O'Brien B, Lip GYH, Fields KG, Muehlschlegel JD et al. (2022), Clinical Research in Cardiology

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@article{prognosticmodel-2022/8,
  title={Prognostic model for atrial fibrillation after cardiac surgery: a UK cohort study},
  author={Chung S-C, O'Brien B, Lip GYH, Fields KG, Muehlschlegel JD et al.},
  journal={Clinical Research in Cardiology},
  publisher={Springer Nature},
  year = "2022"
}

Genome-wide association studies of global Mycobacterium tuberculosis resistance to 13 antimicrobials in 10,228 genomes identify new resistance mechanisms

Earle SG, Wilson DJ, Cirillo DM, Clifton DA, Crook DW et al. (2022), PLoS Biology, 20(8)

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@article{genomewideassoc-2022/8,
  title={Genome-wide association studies of global Mycobacterium tuberculosis resistance to 13 antimicrobials in 10,228 genomes identify new resistance mechanisms},
  author={Earle SG, Wilson DJ, Cirillo DM, Clifton DA, Crook DW et al.},
  journal={PLoS Biology},
  volume={20},
  number={e3001755},
  publisher={Public Library of Science},
  year = "2022"
}

SARS-CoV-2 infection in Africa: a systematic review and meta-analysis of standardised seroprevalence studies, from January 2020 to December 2021.

Lewis HC, Ware H, Whelan M, Subissi L, Li Z et al. (2022), BMJ global health, 7(8), e008793

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@article{sarscovinfectio-2022/8,
  title={SARS-CoV-2 infection in Africa: a systematic review and meta-analysis of standardised seroprevalence studies, from January 2020 to December 2021.},
  author={Lewis HC, Ware H, Whelan M, Subissi L, Li Z et al.},
  journal={BMJ global health},
  volume={7},
  pages={e008793},
  year = "2022"
}

Machine learning-based risk stratification for gestational diabetes management

Yang J, Clifton D, Hirst J, Kavvoura F, Farah G et al. (2022), Sensors, 22(13)

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@article{machinelearning-2022/6,
  title={Machine learning-based risk stratification for gestational diabetes management},
  author={Yang J, Clifton D, Hirst J, Kavvoura F, Farah G et al.},
  journal={Sensors},
  volume={22},
  number={4805},
  publisher={MDPI},
  year = "2022"
}

Weak Monotonicity with Trend Analysis for Unsupervised Feature Evaluation

Clifton D & Lu L (2022), IEEE Transactions on Cybernetics

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@article{weakmonotonicit-2022/5,
  title={Weak Monotonicity with Trend Analysis for Unsupervised Feature Evaluation},
  author={Clifton D & Lu L},
  journal={IEEE Transactions on Cybernetics},
  publisher={Institute of Electrical and Electronics Engineers},
  year = "2022"
}

Reporting guideline for the early-stage clinical evaluation of decision support systems driven by artificial intelligence: DECIDE-AI.

Vasey B, Nagendran M, Campbell B, Clifton DA, Collins GS et al. (2022), Nature medicine, 28(5), 924-933

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@article{reportingguidel-2022/5,
  title={Reporting guideline for the early-stage clinical evaluation of decision support systems driven by artificial intelligence: DECIDE-AI.},
  author={Vasey B, Nagendran M, Campbell B, Clifton DA, Collins GS et al.},
  journal={Nature medicine},
  volume={28},
  pages={924-933},
  year = "2022"
}

Reporting guideline for the early stage clinical evaluation of decision support systems driven by artificial intelligence: DECIDE-AI.

Vasey B, Nagendran M, Campbell B, Clifton DA, Collins GS et al. (2022), BMJ, 377, e070904

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@article{reportingguidel-2022/5,
  title={Reporting guideline for the early stage clinical evaluation of decision support systems driven by artificial intelligence: DECIDE-AI.},
  author={Vasey B, Nagendran M, Campbell B, Clifton DA, Collins GS et al.},
  journal={BMJ},
  volume={377},
  pages={e070904},
  year = "2022"
}

Weak Monotonicity With Trend Analysis for Unsupervised Feature Evaluation.

Lu L, Tan Y, Oetomo D, Mareels I & Clifton DA (2022), IEEE transactions on cybernetics, PP

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@article{weakmonotonicit-2022/5,
  title={Weak Monotonicity With Trend Analysis for Unsupervised Feature Evaluation. },
  author={Lu L, Tan Y, Oetomo D, Mareels I & Clifton DA},
  journal={IEEE transactions on cybernetics},
  volume={PP},
  year = "2022"
}

Sepsis mortality prediction using wearable monitoring in low-middle income countries

Ghiasi S, Zhu T, Lu P, Hagenah J, Khanh PNQ et al. (2022), Sensors, 22(10)

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@article{sepsismortality-2022/5,
  title={Sepsis mortality prediction using wearable monitoring in low-middle income countries},
  author={Ghiasi S, Zhu T, Lu P, Hagenah J, Khanh PNQ et al.},
  journal={Sensors},
  volume={22},
  number={3866},
  publisher={MDPI},
  year = "2022"
}

A deep learning approach for the assessment of signal quality of non-invasive foetal electrocardiography

Mertes G, Long Y, Liu Z, Li Y, Yang Y et al. (2022), Sensors, 22(9)

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@article{adeeplearningap-2022/4,
  title={A deep learning approach for the assessment of signal quality of non-invasive foetal electrocardiography},
  author={Mertes G, Long Y, Liu Z, Li Y, Yang Y et al.},
  journal={Sensors},
  volume={22},
  number={3303},
  publisher={MDPI},
  year = "2022"
}

Multivariable prediction models for atrial fibrillation after cardiac surgery: a systematic review protocol

Fields KG, Ma J, Petrinic T, Alhassan H, Eze A et al. (2022)

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@misc{multivariablepr-2022/4,
  title={Multivariable prediction models for atrial fibrillation after cardiac surgery: a systematic review protocol},
  author={Fields KG, Ma J, Petrinic T, Alhassan H, Eze A et al.},
  year = "2022"
}

Standardising the assessment of caesarean birth using an Oxford caesarean prediction score for mothers with gestational diabetes

Lu H, Hirst J, Yang J, Mackillop L & Clifton D (2022), Healthcare Technology Letters, 9(1-2), 1-8

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@article{standardisingth-2022/3,
  title={Standardising the assessment of caesarean birth using an Oxford caesarean prediction score for mothers with gestational diabetes },
  author={Lu H, Hirst J, Yang J, Mackillop L & Clifton D},
  journal={Healthcare Technology Letters},
  volume={9},
  pages={1-8},
  publisher={Institution of Engineering and Technology},
  year = "2022"
}

Real-world evaluation of rapid and laboratory-free COVID-19 triage for emergency care: external validation and pilot deployment of artificial intelligence driven screening

Soltan AAS, Yang J, Pattanshetty R, Novak A, Yang Y et al. (2022), Lancet Digit Health

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@article{realworldevalua-2022/3,
  title={Real-world evaluation of rapid and laboratory-free COVID-19 triage for emergency care: external validation and pilot deployment of artificial intelligence driven screening},
  author={Soltan AAS, Yang J, Pattanshetty R, Novak A, Yang Y et al.},
  journal={Lancet Digit Health},
  publisher={Elsevier},
  year = "2022"
}

Development, validation and comparison of multivariable risk scores for prediction of total stroke and stroke types in Chinese adults: a prospective study of 0.5 million adults

Chun M, Clarke R, Zhu T, Clifton D, Bennett DA et al. (2022), Stroke and Vascular Neurology, 7(4)

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@article{developmentvali-2022/3,
  title={Development, validation and comparison of multivariable risk scores for prediction of total stroke and stroke types in Chinese adults: a prospective study of 0.5 million adults},
  author={Chun M, Clarke R, Zhu T, Clifton D, Bennett DA et al.},
  journal={Stroke and Vascular Neurology},
  volume={7},
  number={e001251},
  publisher={BMJ Publishing Group},
  year = "2022"
}

Epidemiological cutoff values for a 96-well broth microdilution plate for high-throughput research antibiotic susceptibility testing of M. tuberculosis

Walker A (2022), European Respiratory Journal

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@article{epidemiological-2022/3,
  title={Epidemiological cutoff values for a 96-well broth microdilution plate for high-throughput research antibiotic susceptibility testing of M. tuberculosis},
  author={Walker A},
  journal={European Respiratory Journal},
  publisher={European Respiratory Society},
  year = "2022"
}

A deep active learning approach to the automatic classification of volcano-seismic events

Manley G, Mather T, Pyle D & Clifton D (2022), Frontiers in Earth Science, 10

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@article{adeepactivelear-2022/2,
  title={A deep active learning approach to the automatic classification of volcano-seismic events},
  author={Manley G, Mather T, Pyle D & Clifton D},
  journal={Frontiers in Earth Science},
  volume={10},
  number={807926},
  publisher={Frontiers Media},
  year = "2022"
}

Digital health policy and programs for hospital care in Vietnam: scoping review

Tran DM, Thwaites CL, Van Nuil JI, McKnight J, Luu AP et al. (2022), Journal of Medical Internet Research, 24(2), e32392

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@article{digitalhealthpo-2022/2,
  title={Digital health policy and programs for hospital care in Vietnam: scoping review},
  author={Tran DM, Thwaites CL, Van Nuil JI, McKnight J, Luu AP et al.},
  journal={Journal of Medical Internet Research},
  volume={24},
  pages={e32392},
  publisher={JMIR Publications},
  year = "2022"
}

Identification of undiagnosed atrial fibrillation using a machine learning risk prediction algorithm and diagnostic testing (PULsE-AI) in primary care: cost-effectiveness of a screening strategy evaluated in a randomized controlled trial in England.

Hill NR, Groves L, Dickerson C, Boyce R, Lawton S et al. (2022), Journal of medical economics, 25(1), 974-983

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@article{identificationo-2022/1,
  title={Identification of undiagnosed atrial fibrillation using a machine learning risk prediction algorithm and diagnostic testing (PULsE-AI) in primary care: cost-effectiveness of a screening strategy evaluated in a randomized controlled trial in England.},
  author={Hill NR, Groves L, Dickerson C, Boyce R, Lawton S et al.},
  journal={Journal of medical economics},
  volume={25},
  pages={974-983},
  year = "2022"
}

Incremental Trainable Parameter Selection in Deep Neural Networks

Thakur A, Abrol V, Sharma P, Zhu T & Clifton DA (2022), IEEE Transactions on Neural Networks and Learning Systems

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@article{incrementaltrai-2022/1,
  title={Incremental Trainable Parameter Selection in Deep Neural Networks},
  author={Thakur A, Abrol V, Sharma P, Zhu T & Clifton DA},
  journal={IEEE Transactions on Neural Networks and Learning Systems},
  year = "2022"
}

vital_sqi: A Python package for physiological signal quality control.

Le V-KD, Ho HB, Karolcik S, Hernandez B, Greeff H et al. (2022), Frontiers in physiology, 13, 1020458

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@article{vitalsqiapython-2022/1,
  title={vital_sqi: A Python package for physiological signal quality control.},
  author={Le V-KD, Ho HB, Karolcik S, Hernandez B, Greeff H et al.},
  journal={Frontiers in physiology},
  volume={13},
  pages={1020458},
  year = "2022"
}

Nowruz at SemEval-2022 Task 7: Tackling Cloze Tests with Transformers and Ordinal Regression

Nouriborji M, Rohanian O & Clifton D (2022), SemEval 2022 - 16th International Workshop on Semantic Evaluation, Proceedings of the Workshop, 1071-1077

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@inproceedings{nowruzatsemeval-2022/1,
  title={Nowruz at SemEval-2022 Task 7: Tackling Cloze Tests with Transformers and Ordinal Regression},
  author={Nouriborji M, Rohanian O & Clifton D},
  pages={1071-1077},
  year = "2022"
}

Mixture of Input-Output Hidden Markov Models for Heterogeneous Disease Progression Modeling

Ceritli T, Creagh AP & Clifton DA (2022), 2022 IEEE-EMBS INTERNATIONAL CONFERENCE ON BIOMEDICAL AND HEALTH INFORMATICS (BHI) JOINTLY ORGANISED WITH THE IEEE-EMBS INTERNATIONAL CONFERENCE ON WEARABLE AND IMPLANTABLE BODY SENSOR NETWORKS (BSN'22)

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@inproceedings{mixtureofinputo-2022/,
  title={Mixture of Input-Output Hidden Markov Models for Heterogeneous Disease Progression Modeling},
  author={Ceritli T, Creagh AP & Clifton DA},
  year = "2022"
}

Continual learning of longitudinal health records

Armstrong J & Clifton DA (2022), 2022 IEEE-EMBS INTERNATIONAL CONFERENCE ON BIOMEDICAL AND HEALTH INFORMATICS (BHI) JOINTLY ORGANISED WITH THE IEEE-EMBS INTERNATIONAL CONFERENCE ON WEARABLE AND IMPLANTABLE BODY SENSOR NETWORKS (BSN'22)

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@inproceedings{continuallearni-2022/,
  title={Continual learning of longitudinal health records},
  author={Armstrong J & Clifton DA},
  year = "2022"
}

Dynamic neural graphs based federated reptile for semi-supervised multi-tasking in healthcare applications

Thakur A, Sharma P & Clifton DA (2021), IEEE Journal of Biomedical and Health Informatics, 1-1

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@article{dynamicneuralgr-2021/12,
  title={Dynamic neural graphs based federated reptile for semi-supervised multi-tasking in healthcare applications},
  author={Thakur A, Sharma P & Clifton DA},
  journal={IEEE Journal of Biomedical and Health Informatics},
  pages={1-1},
  publisher={IEEE},
  year = "2021"
}

CROCS: Clustering and revival of cardiac signals based on patient disease class, sex, and age

Kiyasseh D, Zhu T & Clifton D (2021), Advances in Neural Information Processing Systems 34 (NeurIPS 2021)

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@inproceedings{crocsclustering-2021/12,
  title={CROCS: Clustering and revival of cardiac signals based on patient disease class, sex, and age},
  author={Kiyasseh D, Zhu T & Clifton D},
  booktitle={35th Conference on Neural Information Processing Systems (NeurIPS 2021)},
  year = "2021"
}

Interactive Effects of HRV and P-QRS-T on the Power Density Spectra of ECG Signals.

Xiang T, Ji N, Clifton DA, Lu L & Zhang Y-T (2021), IEEE journal of biomedical and health informatics, 25(11), 4163-4174

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@article{interactiveeffe-2021/11,
  title={Interactive Effects of HRV and P-QRS-T on the Power Density Spectra of ECG Signals.},
  author={Xiang T, Ji N, Clifton DA, Lu L & Zhang Y-T},
  journal={IEEE journal of biomedical and health informatics},
  volume={25},
  pages={4163-4174},
  year = "2021"
}

Machine learning approaches to identifying changes in eruptive state using multi-parameter datasets from the 2006 eruption of Augustine Volcano, Alaska

Manley G, Mather T, Pyle D & Clifton D (2021), Journal of Geophysical Research. Solid Earth

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@article{machinelearning-2021/11,
  title={Machine learning approaches to identifying changes in eruptive state using multi-parameter datasets from the 2006 eruption of Augustine Volcano, Alaska},
  author={Manley G, Mather T, Pyle D & Clifton D},
  journal={Journal of Geophysical Research. Solid Earth},
  publisher={American Geophysical Union},
  year = "2021"
}

Improving patient flow during infectious disease outbreaks using machine learning for real-time prediction of patient readiness for discharge

Bishop J, Javed H, EL-Bouri R, Zhu T, Taylor T et al. (2021), PLoS One, 16(11)

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@article{improvingpatien-2021/11,
  title={Improving patient flow during infectious disease outbreaks using machine learning for real-time prediction of patient readiness for discharge},
  author={Bishop J, Javed H, EL-Bouri R, Zhu T, Taylor T et al.},
  journal={PLoS One},
  volume={16},
  number={e0260476},
  publisher={Public Library of Science},
  year = "2021"
}

Machine learning to predict the source of campylobacteriosis using whole genome data.

Arning N, Sheppard SK, Bayliss S, Clifton DA & Wilson DJ (2021), PLoS genetics, 17(10), e1009436

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@article{machinelearning-2021/10,
  title={Machine learning to predict the source of campylobacteriosis using whole genome data.},
  author={Arning N, Sheppard SK, Bayliss S, Clifton DA & Wilson DJ},
  journal={PLoS genetics},
  volume={17},
  pages={e1009436},
  year = "2021"
}

Publisher Correction: Utility of single versus sequential measurements of risk factors for prediction of stroke in Chinese adults.

Chun M, Clarke R, Zhu T, Clifton D, Bennett D et al. (2021), Scientific reports, 11(1), 20874

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@misc{publishercorrec-2021/10,
  title={Publisher Correction: Utility of single versus sequential measurements of risk factors for prediction of stroke in Chinese adults.},
  author={Chun M, Clarke R, Zhu T, Clifton D, Bennett D et al.},
  year = "2021"
}

Utility of single versus sequential measurements of risk factors for prediction of stroke in Chinese adults

Chun M, Clarke R, Zhu T, Clifton J, Bennett D et al. (2021), Scientific Reports, 11(2021)

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@article{utilityofsingle-2021/9,
  title={Utility of single versus sequential measurements of risk factors for prediction of stroke in Chinese adults},
  author={Chun M, Clarke R, Zhu T, Clifton J, Bennett D et al.},
  journal={Scientific Reports},
  volume={11},
  number={17575 },
  publisher={Springer Nature},
  year = "2021"
}

Data pre-processing using neural processes for modelling personalised vital-sign time-series data

Sharma P, Shamout F, Abrol V & Clifton D (2021), IEEE Journal of Biomedical and Health Informatics

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@article{datapreprocessi-2021/8,
  title={Data pre-processing using neural processes for modelling personalised vital-sign time-series data},
  author={Sharma P, Shamout F, Abrol V & Clifton D},
  journal={IEEE Journal of Biomedical and Health Informatics},
  publisher={IEEE},
  year = "2021"
}

An end-to-end heterogeneous graph attention network for Mycobacterium tuberculosis drug-resistance prediction

Yang Y, Walker TM, Kouchaki S, Wang C, Peto TEA et al. (2021), Briefings in Bioinformatics, 22(6)

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@article{anendtoendheter-2021/8,
  title={An end-to-end heterogeneous graph attention network for Mycobacterium tuberculosis drug-resistance prediction},
  author={Yang Y, Walker TM, Kouchaki S, Wang C, Peto TEA et al.},
  journal={Briefings in Bioinformatics},
  volume={22},
  number={bbab299},
  publisher={Oxford University Press },
  year = "2021"
}

Interactive effects of HRV and P-QRS-T on the power density spectra of ECG signals

Xiang T, Nan J, Clifton D, Lu L & Zhang Y-T (2021), IEEE Journal of Biomedical and Health Informatics, 25(11), 4163-4174

Altmetric score is
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@article{interactiveeffe-2021/8,
  title={Interactive effects of HRV and P-QRS-T on the power density spectra of ECG signals},
  author={Xiang T, Nan J, Clifton D, Lu L & Zhang Y-T},
  journal={IEEE Journal of Biomedical and Health Informatics},
  volume={25},
  pages={4163-4174},
  publisher={IEEE},
  year = "2021"
}

Using machine learning to predict anticoagulation control in atrial fibrillation: a UK Clinical Practice Research Datalink study

CLIFTON D (2021), Informatics in Medicine Unlocked

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@article{usingmachinelea-2021/8,
  title={Using machine learning to predict anticoagulation control in atrial fibrillation: a UK Clinical Practice Research Datalink study},
  author={CLIFTON D},
  journal={Informatics in Medicine Unlocked},
  publisher={Elsevier},
  year = "2021"
}

CLOCS: contrastive learning of cardiac signals across space, time, and patients

Kiyasseh D, Zhu T & Clifton D (2021), 5606-5615

Altmetric score is
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@article{clocscontrastiv-2021/7,
  title={CLOCS: contrastive learning of cardiac signals across space, time, and patients},
  author={Kiyasseh D, Zhu T & Clifton D},
  journal={},
  pages={5606-5615},
  publisher={Journal of Machine Learning Research},
  year = "2021"
}

Forecasting COVID-19 severity by intelligent optical fingerprinting of blood samples

Faria SP, Carpinteiro C, Pinto V, Rodrigues SM, Alves J et al. (2021), Diagnostics, 11(8)

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@article{forecastingcovi-2021/7,
  title={Forecasting COVID-19 severity by intelligent optical fingerprinting of blood samples},
  author={Faria SP, Carpinteiro C, Pinto V, Rodrigues SM, Alves J et al.},
  journal={Diagnostics},
  volume={11},
  number={1309},
  publisher={MDPI},
  year = "2021"
}

A clinical deep learning framework for continually learning from cardiac signals across diseases, time, modalities, and institutions.

Kiyasseh D, Zhu T & Clifton D (2021), Nature Communications, 12(1)

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@article{aclinicaldeeple-2021/7,
  title={A clinical deep learning framework for continually learning from cardiac signals across diseases, time, modalities, and institutions.},
  author={Kiyasseh D, Zhu T & Clifton D},
  journal={Nature Communications},
  volume={12},
  number={4221},
  publisher={Springer Nature},
  year = "2021"
}

BashTheBug: a crowd of volunteers reproducibly and accurately measure the minimum inhibitory concentrations of 13 antitubercular drugs from photographs of 96-well broth microdilution plates

Fowler P, Wright C, Spiers H, Zhu T, Baeten EML et al. (2021)

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@misc{bashthebugacrow-2021/7,
  title={BashTheBug: a crowd of volunteers reproducibly and accurately measure the minimum inhibitory concentrations of 13 antitubercular drugs from photographs of 96-well broth microdilution plates},
  author={Fowler P, Wright C, Spiers H, Zhu T, Baeten EML et al.},
  year = "2021"
}

Global seroprevalence of SARS-CoV-2 antibodies: a systematic review and meta-analysis

Bobrovitz N, Arora RK, Boucher E, Liu M, Donnici C et al. (2021), PLoS One, 16(6)

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@article{globalseropreva-2021/6,
  title={Global seroprevalence of SARS-CoV-2 antibodies: a systematic review and meta-analysis},
  author={Bobrovitz N, Arora RK, Boucher E, Liu M, Donnici C et al.},
  journal={PLoS One},
  volume={16},
  number={e0252617},
  publisher={Public Library of Science},
  year = "2021"
}

Stroke risk prediction using machine learning: a prospective cohort study of 0.5 million Chinese adults

Chun M, Clarke R, Cairns B, Clifton D, Bennett D et al. (2021), Journal of the American Medical Informatics Association, 28(8), 1719-1727

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@article{strokeriskpredi-2021/5,
  title={Stroke risk prediction using machine learning: a prospective cohort study of 0.5 million Chinese adults },
  author={Chun M, Clarke R, Cairns B, Clifton D, Bennett D et al.},
  journal={Journal of the American Medical Informatics Association},
  volume={28},
  pages={1719-1727},
  publisher={Oxford University Press},
  year = "2021"
}

Recruiting patients to a digital self-management study whilst in hospital for a chronic obstructive pulmonary disease exacerbation: a feasibility analysis

Whelan M, Biggs C, Morgado Areia C, King E, Lawson B et al. (2021), Digital Health, 7

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@article{recruitingpatie-2021/5,
  title={Recruiting patients to a digital self-management study whilst in hospital for a chronic obstructive pulmonary disease exacerbation: a feasibility analysis},
  author={Whelan M, Biggs C, Morgado Areia C, King E, Lawson B et al.},
  journal={Digital Health},
  volume={7},
  number={20552076211020876},
  publisher={SAGE Publications},
  year = "2021"
}

Development and validation of early warning score systems for COVID-19 patients

Youssef A, Kouchaki S, Shamout F, Armstrong J, El-Bouri R et al. (2021), Healthcare Technology Letters, 8(5), 105-117

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@article{developmentandv-2021/5,
  title={Development and validation of early warning score systems for COVID-19 patients},
  author={Youssef A, Kouchaki S, Shamout F, Armstrong J, El-Bouri R et al.},
  journal={Healthcare Technology Letters},
  volume={8},
  pages={105-117},
  publisher={Wiley},
  year = "2021"
}

Wearable remote monitoring for patients with COVID-19 in low-resource settings: case study

Chau N, Hai H, Greeff H, Phan Nguyen Quoc K, Trieu H et al. (2021), BMJ Innovations, 7(2021), S12-S15

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@article{wearableremotem-2021/3,
  title={Wearable remote monitoring for patients with COVID-19 in low-resource settings: case study},
  author={Chau N, Hai H, Greeff H, Phan Nguyen Quoc K, Trieu H et al.},
  journal={BMJ Innovations},
  volume={7},
  pages={S12-S15},
  publisher={BMJ Publishing Group},
  year = "2021"
}

Toward a multivariate prediction model of pharmacological treatment for women with gestational diabetes mellitus: Algorithm development and validation

Velardo C, Clifton D, Hamblin S, Khan R, Tarassenko L et al. (2021), Journal of Medical Internet Research, 23(3)

Altmetric score is
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@article{towardamultivar-2021/3,
  title={Toward a multivariate prediction model of pharmacological treatment for women with gestational diabetes mellitus: Algorithm development and validation},
  author={Velardo C, Clifton D, Hamblin S, Khan R, Tarassenko L et al.},
  journal={Journal of Medical Internet Research},
  volume={23},
  number={e21435},
  publisher={JMIR Publications},
  year = "2021"
}

Vital sign monitoring using wearable devices in a Vietnamese intensive care unit

Van H, Hao N, Phan Nguyen Quoc K, Hai H, Khoa L et al. (2021), BMJ Innovations, 7(Supplement 1), S7-S11

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@article{vitalsignmonito-2021/3,
  title={Vital sign monitoring using wearable devices in a Vietnamese intensive care unit},
  author={Van H, Hao N, Phan Nguyen Quoc K, Hai H, Khoa L et al.},
  journal={BMJ Innovations},
  volume={7},
  pages={S7-S11},
  publisher={BMJ Publishing Group},
  year = "2021"
}

Comparison of parametric and non-parametric Bayesian inference for fusing sensory estimates in physiological time-series analysis

Zhu T, Javed H & Clifton D (2021), Healthcare Technology Letters, 8(2), 25-30

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@article{comparisonofpar-2021/2,
  title={Comparison of parametric and non-parametric Bayesian inference for fusing sensory estimates in physiological time-series analysis},
  author={Zhu T, Javed H & Clifton D},
  journal={Healthcare Technology Letters},
  volume={8},
  pages={25-30},
  publisher={Wiley},
  year = "2021"
}

Detecting deteriorating patients in hospital: development and validation of a novel scoring system

Pimentel MAF, Redfern O, Malycha J, Meredith P, Prytherch D et al. (2021), American Journal of Respiratory and Critical Care Medicine, 204(1), 44-52

Altmetric score is
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@article{detectingdeteri-2021/2,
  title={Detecting deteriorating patients in hospital: development and validation of a novel scoring system},
  author={Pimentel MAF, Redfern O, Malycha J, Meredith P, Prytherch D et al.},
  journal={American Journal of Respiratory and Critical Care Medicine},
  volume={204},
  pages={44-52},
  publisher={American Thoracic Society},
  year = "2021"
}

SDNN24 estimation from semi-continuous HR measures

Morelli D, Rossi A, Bartoloni L & Cairo M (2021), Sensors, 21(4)

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@article{sdnnestimationf-2021/2,
  title={SDNN24 estimation from semi-continuous HR measures},
  author={Morelli D, Rossi A, Bartoloni L & Cairo M},
  journal={Sensors},
  volume={21},
  number={1463},
  publisher={MDPI},
  year = "2021"
}

Recommendation to use wearable-based mHealth in closed-loop management of acute cardiovascular disease patients during the COVID-19 pandemic

Ji N, Xiang T, Bonato P, Lovell NH, Ooi S-Y et al. (2021), IEEE Journal of Biomedical and Health Informatics, 25(4), 903-908

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@article{recommendationt-2021/2,
  title={Recommendation to use wearable-based mHealth in closed-loop management of acute cardiovascular disease patients during the COVID-19 pandemic},
  author={Ji N, Xiang T, Bonato P, Lovell NH, Ooi S-Y et al.},
  journal={IEEE Journal of Biomedical and Health Informatics},
  volume={25},
  pages={903-908},
  publisher={Institute of Electrical and Electronics Engineers},
  year = "2021"
}

DECIDE-AI: new reporting guidelines to bridge the development-to-implementation gap in clinical artificial intelligence

Clifton DA, Collins G, Morgan L, Watkinson P & McCulloch P (2021), Nature Medicine, 27(2), 186-187

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@article{decideainewrepo-2021/2,
  title={DECIDE-AI: new reporting guidelines to bridge the development-to-implementation gap in clinical artificial intelligence},
  author={Clifton DA, Collins G, Morgan L, Watkinson P & McCulloch P},
  journal={Nature Medicine},
  volume={27},
  pages={186-187},
  publisher={Nature},
  year = "2021"
}

Machine learning in patient flow: a review

El-Bouri R, Taylor T, Youssef A, Zhu T & Clifton D (2021), Progress in Biomedical Engineering, 3(2 )

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@article{machinelearning-2021/1,
  title={Machine learning in patient flow: a review},
  author={El-Bouri R, Taylor T, Youssef A, Zhu T & Clifton D},
  journal={Progress in Biomedical Engineering},
  volume={3},
  number={022002},
  publisher={IOP Publishing},
  year = "2021"
}

Using machine learning to predict anticoagulation control in atrial fibrillation: A UK Clinical Practice Research Datalink study

Gordon J, Norman M, Hurst M, Mason T, Dickerson C et al. (2021), Informatics in Medicine Unlocked, 25

Altmetric score is
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@article{usingmachinelea-2021/1,
  title={Using machine learning to predict anticoagulation control in atrial fibrillation: A UK Clinical Practice Research Datalink study},
  author={Gordon J, Norman M, Hurst M, Mason T, Dickerson C et al.},
  journal={Informatics in Medicine Unlocked},
  volume={25},
  year = "2021"
}

Machine Learning for Clinical Outcome Prediction

Shamout F, Zhu T & Clifton DA (2021), IEEE Reviews in Biomedical Engineering, 14, 116-126

Altmetric score is
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@article{machinelearning-2021/,
  title={Machine Learning for Clinical Outcome Prediction},
  author={Shamout F, Zhu T & Clifton DA},
  journal={IEEE Reviews in Biomedical Engineering},
  volume={14},
  pages={116-126},
  year = "2021"
}

ProSelfLC: Progressive Self Label Correction for Training Robust Deep Neural Networks

Wang X, Hua Y, Kodirov E, Clifton DA, Robertson NM et al. (2021), 2021 IEEE/CVF CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION, CVPR 2021, 752-761

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@inproceedings{proselflcprogre-2021/,
  title={ProSelfLC: Progressive Self Label Correction for Training Robust Deep Neural Networks},
  author={Wang X, Hua Y, Kodirov E, Clifton DA, Robertson NM et al.},
  pages={752-761},
  year = "2021"
}

Error estimation of ultra-short heart rate variability parameters: effect of missing data caused by motion artifacts

rossi A, pedreschi D, Clifton D & morelli D (2020), Sensors, 20(24)

Altmetric score is
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@article{errorestimation-2020/12,
  title={Error estimation of ultra-short heart rate variability parameters: effect of missing data caused by motion artifacts},
  author={rossi A, pedreschi D, Clifton D & morelli D},
  journal={Sensors},
  volume={20},
  number={7122},
  publisher={MDPI},
  year = "2020"
}

Smartwatch data help detect COVID-19

Zhu T, Watkinson P & Clifton DA (2020), Nature Biomedical Engineering, 4(12), 1125-1127

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@article{smartwatchdatah-2020/12,
  title={Smartwatch data help detect COVID-19},
  author={Zhu T, Watkinson P & Clifton DA},
  journal={Nature Biomedical Engineering},
  volume={4},
  pages={1125-1127},
  publisher={Springer Nature},
  year = "2020"
}

Rapid triage for COVID-19 using routine clinical data for patients attending hospital: development and prospective validation of an artificial intelligence screening test

Soltan AAS, Kouchaki S, Zhu T, Kiyasseh D, Taylor T et al. (2020), Lancet Digital Health, 3(2), e78-e87

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@article{rapidtriageforc-2020/12,
  title={Rapid triage for COVID-19 using routine clinical data for patients attending hospital: development and prospective validation of an artificial intelligence screening test},
  author={Soltan AAS, Kouchaki S, Zhu T, Kiyasseh D, Taylor T et al.},
  journal={Lancet Digital Health},
  volume={3},
  pages={e78-e87},
  publisher={Elsevier},
  year = "2020"
}

A Public Dataset of 24-h Multi-Levels Psycho-Physiological Responses in Young Healthy Adults

Rossi A, Da Pozzo E, Menicagli D, Tremolanti C, Priami C et al. (2020), DATA, 5(4)

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@article{apublicdataseto-2020/12,
  title={A Public Dataset of 24-h Multi-Levels Psycho-Physiological Responses in Young Healthy Adults},
  author={Rossi A, Da Pozzo E, Menicagli D, Tremolanti C, Priami C et al.},
  journal={DATA},
  volume={5},
  number={ARTN 91},
  year = "2020"
}

An impedance pneumography signal quality index: Design, assessment and application to respiratory rate monitoring

Charlton PH, Bonnici T, Tarassenko L, Clifton DA, Beale R et al. (2020), Biomedical Signal Processing and Control, 65

Altmetric score is
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@article{animpedancepneu-2020/11,
  title={An impedance pneumography signal quality index: Design, assessment and application to respiratory rate monitoring},
  author={Charlton PH, Bonnici T, Tarassenko L, Clifton DA, Beale R et al.},
  journal={Biomedical Signal Processing and Control},
  volume={65},
  number={102339},
  publisher={Elsevier},
  year = "2020"
}

Student-teacher curriculum learning via reinforcement learning: predicting hospital inpatient admission location

El-Bouri R, Eyre D, Watkinson P, Zhu T & Clifton D (2020), Proceedings of the 37th International Conference on Machine Learning, 2848-2857

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@inproceedings{studentteacherc-2020/11,
  title={Student-teacher curriculum learning via reinforcement learning: predicting hospital inpatient admission location},
  author={El-Bouri R, Eyre D, Watkinson P, Zhu T & Clifton D},
  booktitle={37th International Conference on Machine Learning, (ICML 2020)},
  pages={2848-2857},
  year = "2020"
}

Identification of undiagnosed atrial fibrillation patients using a machine learning risk prediction algorithm and diagnostic testing (PULsE-AI): Study protocol for a randomised controlled trial

Hill NR, Arden C, Beresford-Hulme L, Camm AJ, Clifton D et al. (2020), Contemporary Clinical Trials, 99

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@article{identificationo-2020/10,
  title={Identification of undiagnosed atrial fibrillation patients using a machine learning risk prediction algorithm and diagnostic testing (PULsE-AI): Study protocol for a randomised controlled trial},
  author={Hill NR, Arden C, Beresford-Hulme L, Camm AJ, Clifton D et al.},
  journal={Contemporary Clinical Trials},
  volume={99},
  number={106191},
  publisher={Elsevier},
  year = "2020"
}

Cancelable HD-sEMG-based biometrics for cross-application discrepant personal identification

Jiang X, Xu K, Liu X, Dai C, Clifton D et al. (2020), IEEE Journal of Biomedical and Health Informatics

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@article{cancelablehdsem-2020/9,
  title={Cancelable HD-sEMG-based biometrics for cross-application discrepant personal identification},
  author={Jiang X, Xu K, Liu X, Dai C, Clifton D et al.},
  journal={IEEE Journal of Biomedical and Health Informatics},
  publisher={IEEE},
  year = "2020"
}

The promise of clinical decision support systems targetting low-resource settings

Kiyasseh D, Zhu T & Clifton D (2020), IEEE Reviews in Biomedical Engineering, 15, 354-371

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@article{thepromiseofcli-2020/8,
  title={The promise of clinical decision support systems targetting low-resource settings},
  author={Kiyasseh D, Zhu T & Clifton D},
  journal={IEEE Reviews in Biomedical Engineering},
  volume={15},
  pages={354-371},
  publisher={Institute of Electrical and Electronics Engineers},
  year = "2020"
}

Guest Editorial: Integrative Sensor Networks, Informatics, and Modeling for Precision and Preventative Medicine

Chen W, Clifton D & Telfer B (2020), IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS, 24(7), 1858-1859

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@article{guesteditoriali-2020/7,
  title={Guest Editorial: Integrative Sensor Networks, Informatics, and Modeling for Precision and Preventative Medicine},
  author={Chen W, Clifton D & Telfer B},
  journal={IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS},
  volume={24},
  pages={1858-1859},
  year = "2020"
}

Neuromuscular password-based user authentication

Jiang X, Xu K, Liu X, Dai C, Clifton D et al. (2020), IEEE Transactions on Industrial Informatics, 17(4), 2641-2652

Altmetric score is
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@article{neuromuscularpa-2020/6,
  title={Neuromuscular password-based user authentication},
  author={Jiang X, Xu K, Liu X, Dai C, Clifton D et al.},
  journal={IEEE Transactions on Industrial Informatics},
  volume={17},
  pages={2641-2652},
  publisher={Institute of Electrical and Electronics Engineers},
  year = "2020"
}

Shallow aquifer monitoring using handpump vibration data

Manandhar A, Greeff H, Thomson P, Hope R & Clifton DA (2020), Journal of Hydrology X

Altmetric score is
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@article{shallowaquiferm-2020/6,
  title={Shallow aquifer monitoring using handpump vibration data},
  author={Manandhar A, Greeff H, Thomson P, Hope R & Clifton DA},
  journal={Journal of Hydrology X},
  number={100057},
  publisher={Elsevier },
  year = "2020"
}

Cross-sectional centiles of blood pressure by age and sex: a four-hospital database retrospective observational analysis

Wong D, Gerry S, Shamout F, Clifton DA, Pimentel MAF et al. (2020), BMJ Open, 10(5)

Altmetric score is
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@article{crosssectionalc-2020/5,
  title={Cross-sectional centiles of blood pressure by age and sex: a four-hospital database retrospective observational analysis },
  author={Wong D, Gerry S, Shamout F, Clifton DA, Pimentel MAF et al.},
  journal={BMJ Open},
  volume={10},
  number={e033618},
  publisher={BMJ Publishing Group},
  year = "2020"
}

Hospital admission location prediction via deep interpretable networks for the year-round improvement of emergency patient care

el-Bouri R, Eyre D, Watkinson P, Zhu T & Clifton D (2020), IEEE Journal of Biomedical and Health Informatics, 25(1), 289-300

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@article{hospitaladmissi-2020/5,
  title={Hospital admission location prediction via deep interpretable networks for the year-round improvement of emergency patient care},
  author={el-Bouri R, Eyre D, Watkinson P, Zhu T & Clifton D},
  journal={IEEE Journal of Biomedical and Health Informatics},
  volume={25},
  pages={289-300},
  publisher={Institute of Electrical and Electronics Engineers},
  year = "2020"
}

Understanding the timing of eruption end using a machine learning approach to classification of seismic time series

Manley G, Pyle D, Mather T, Rodgers M, Clifton D et al. (2020), Journal of Volcanology and Geothermal Research, 401

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@article{understandingth-2020/5,
  title={Understanding the timing of eruption end using a machine learning approach to classification of seismic time series},
  author={Manley G, Pyle D, Mather T, Rodgers M, Clifton D et al.},
  journal={Journal of Volcanology and Geothermal Research},
  volume={401},
  number={106917},
  publisher={Elsevier},
  year = "2020"
}

Wearable Sensing and Telehealth Technology with Potential Applications in the Coronavirus Pandemic

Ding X-R, Clifton D, Ji N, Lovell NH, Bonato P et al. (2020), IEEE Reviews in Biomedical Engineering, 14(2021), 48-70

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@article{wearablesensing-2020/5,
  title={Wearable Sensing and Telehealth Technology with Potential Applications in the Coronavirus Pandemic},
  author={Ding X-R, Clifton D, Ji N, Lovell NH, Bonato P et al.},
  journal={IEEE Reviews in Biomedical Engineering},
  volume={14},
  pages={48-70},
  publisher={Institute of Electrical and Electronics Engineers},
  year = "2020"
}

PlethAugment: GAN-based PPG augmentation for medical diagnosis in low-resource settings

Kiyasseh D, Tadesse G, Nhan LNT, Tan LV, Thwaites C et al. (2020), IEEE Journal of Biomedical and Health Informatics, 24(11)

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@article{plethaugmentgan-2020/4,
  title={PlethAugment: GAN-based PPG augmentation for medical diagnosis in low-resource settings},
  author={Kiyasseh D, Tadesse G, Nhan LNT, Tan LV, Thwaites C et al.},
  journal={IEEE Journal of Biomedical and Health Informatics},
  volume={24},
  number={3226-3235},
  publisher={Institute of Electrical and Electronics Engineers},
  year = "2020"
}

Multi-label random forest model for tuberculosis drug resistance classification and mutation ranking

Kouchaki S, Yang Y, Lapachelle A, Walker T, Walker AS et al. (2020), Frontiers in Microbiology, 11

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@article{multilabelrando-2020/4,
  title={Multi-label random forest model for tuberculosis drug resistance classification and mutation ranking},
  author={Kouchaki S, Yang Y, Lapachelle A, Walker T, Walker AS et al.},
  journal={Frontiers in Microbiology},
  volume={11},
  number={667},
  publisher={Frontiers Media},
  year = "2020"
}

GenomegaMap: Within-species genome-wide dN/dS estimation from over 10,000 genomes

Wilson DJ, Crook DW, Peto TEA, Walker AS, Hoosdally S et al. (2020), Molecular Biology and Evolution, 37(8), 2450-2460

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@article{genomegamapwith-2020/3,
  title={GenomegaMap: Within-species genome-wide dN/dS estimation from over 10,000 genomes},
  author={Wilson DJ, Crook DW, Peto TEA, Walker AS, Hoosdally S et al.},
  journal={Molecular Biology and Evolution},
  volume={37},
  pages={2450-2460},
  publisher={Oxford University Press},
  year = "2020"
}

Severity detection tool for patients with infectious disease

Tadesse G, Zhu T, Le Nguyen Thanh N, Thanh Hung N, Duong HTH et al. (2020), Healthcare Technology Letters, 7(2)

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@article{severitydetecti-2020/2,
  title={Severity detection tool for patients with infectious disease},
  author={Tadesse G, Zhu T, Le Nguyen Thanh N, Thanh Hung N, Duong HTH et al.},
  journal={Healthcare Technology Letters},
  volume={7},
  number={45},
  publisher={Institution of Engineering and Technology},
  year = "2020"
}

Machine learning to evaluate impacts of flood protection in Bangladesh, 1983–2014

Fischer A, Bradley DJ, Salehin M, Islam MS, Hope R et al. (2020), Water, 12(2)

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@article{machinelearning-2020/2,
  title={Machine learning to evaluate impacts of flood protection in Bangladesh, 1983–2014},
  author={Fischer A, Bradley DJ, Salehin M, Islam MS, Hope R et al.},
  journal={Water},
  volume={12},
  number={483},
  publisher={MDPI},
  year = "2020"
}

Multi-modal diagnosis of infectious diseases in the developing world

Tadesse G, Javed H, Le Nguyen Thanh N, Duong Ha Thi H, Le Van T et al. (2020), IEEE Journal of Biomedical and Health Informatics, 24(7), 2131-2141

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@article{multimodaldiagn-2020/1,
  title={Multi-modal diagnosis of infectious diseases in the developing world},
  author={Tadesse G, Javed H, Le Nguyen Thanh N, Duong Ha Thi H, Le Van T et al.},
  journal={IEEE Journal of Biomedical and Health Informatics},
  volume={24},
  pages={2131-2141},
  publisher={Institute of Electrical and Electronics Engineers},
  year = "2020"
}

Heart rate variability as an indicator of autonomic nervous system disturbance in tetanus

Duong HTH, Tadesse GA, Nhat PTH, Hao NV, Prince J et al. (2019), American Journal of Tropical Medicine and Hygiene, 102(2), 403-407

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@article{heartratevariab-2019/12,
  title={Heart rate variability as an indicator of autonomic nervous system disturbance in tetanus},
  author={Duong HTH, Tadesse GA, Nhat PTH, Hao NV, Prince J et al.},
  journal={American Journal of Tropical Medicine and Hygiene},
  volume={102},
  pages={403-407},
  publisher={American Society of Tropical Medicine and Hygiene },
  year = "2019"
}

Early warning score adjusted for age to predict the composite outcome of mortality, cardiac arrest or unplanned intensive care unit admission using observational vital-sign data: a multicentre development and validation

Shamout F, Zhu T, Clifton L, Briggs J, Prytherch D et al. (2019), BMJ Open, 9(11)

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@article{earlywarningsco-2019/11,
  title={Early warning score adjusted for age to predict the composite outcome of mortality, cardiac arrest or unplanned intensive care unit admission using observational vital-sign data: a multicentre development and validation},
  author={Shamout F, Zhu T, Clifton L, Briggs J, Prytherch D et al.},
  journal={BMJ Open},
  volume={9},
  number={e033301},
  publisher={BMJ Publishing Group},
  year = "2019"
}

Combining multi-modal statistics for welfare prediction using deep learning

Sharma P, Manandhar A, Thomson P, Katuva J, Hope R et al. (2019), Sustainability, 11(22)

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@article{combiningmultim-2019/11,
  title={Combining multi-modal statistics for welfare prediction using deep learning},
  author={Sharma P, Manandhar A, Thomson P, Katuva J, Hope R et al.},
  journal={Sustainability},
  volume={11},
  number={6312},
  publisher={MDPI},
  year = "2019"
}

Combining Multi-Modal Statistics for Welfare Prediction Using Deep Learning

Sharma P, Manandhar A, Thomson P, Katuva J, Hope R et al. (2019), SUSTAINABILITY, 11(22)

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@article{combiningmultim-2019/11,
  title={Combining Multi-Modal Statistics for Welfare Prediction Using Deep Learning},
  author={Sharma P, Manandhar A, Thomson P, Katuva J, Hope R et al.},
  journal={SUSTAINABILITY},
  volume={11},
  number={ARTN 6312},
  year = "2019"
}

Cardiovascular disease diagnosis using cross-domain transfer learning

Tadesse G, Zhu T, Liu Y, Zhou Y, Chen J et al. (2019), 4262-4265

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@inproceedings{cardiovasculard-2019/10,
  title={Cardiovascular disease diagnosis using cross-domain transfer learning},
  author={Tadesse G, Zhu T, Liu Y, Zhou Y, Chen J et al.},
  booktitle={2019 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)},
  pages={4262-4265},
  year = "2019"
}

A computationally efficient algorithm to obtain an accurate and interpretable model of the effect of circadian rhythm on resting heart rate.

Morelli D, Bartoloni L, Rossi A & Clifton DA (2019), Physiological measurement, 40(9), 095001

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@article{acomputationall-2019/9,
  title={A computationally efficient algorithm to obtain an accurate and interpretable model of the effect of circadian rhythm on resting heart rate.},
  author={Morelli D, Bartoloni L, Rossi A & Clifton DA},
  journal={Physiological measurement},
  volume={40},
  pages={095001},
  year = "2019"
}

Deep interpretable early warning system for the detection of clinical deterioration

Shamout F, Zhu T, Sharma P, Watkinson PJ & Clifton DA (2019), IEEE Journal of Biomedical and Health Informatics, 24(2), 437-446

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@article{deepinterpretab-2019/9,
  title={Deep interpretable early warning system for the detection of clinical deterioration},
  author={Shamout F, Zhu T, Sharma P, Watkinson PJ & Clifton DA},
  journal={IEEE Journal of Biomedical and Health Informatics},
  volume={24},
  pages={437-446},
  publisher={Institute of Electrical and Electronics Engineers},
  year = "2019"
}

Analysis of the impact of interpolation methods of missing RR-intervals caused by motion artifacts on HRV features estimations

Morelli D, Rossi A, Cairo M & Clifton DA (2019), Sensors, 19(14)

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@article{analysisoftheim-2019/7,
  title={Analysis of the impact of interpolation methods of missing RR-intervals caused by motion artifacts on HRV features estimations},
  author={Morelli D, Rossi A, Cairo M & Clifton DA},
  journal={Sensors},
  volume={19},
  number={3163},
  publisher={MDPI},
  year = "2019"
}

Blockchain in health care: hype, trust, and digital health.

Leeming G, Ainsworth J & Clifton DA (2019), Lancet (London, England), 393(10190), 2476-2477

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@article{blockchaininhea-2019/6,
  title={Blockchain in health care: hype, trust, and digital health.},
  author={Leeming G, Ainsworth J & Clifton DA},
  journal={Lancet (London, England)},
  volume={393},
  pages={2476-2477},
  year = "2019"
}

Achieving affordable critical care in low-income and middle-income countries

Turner H, Hao NV, Yacoub S, Hoang VMT, Clifton D et al. (2019), BMJ Global Health, 4(3)

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@article{achievingafford-2019/6,
  title={Achieving affordable critical care in low-income and middle-income countries},
  author={Turner H, Hao NV, Yacoub S, Hoang VMT, Clifton D et al.},
  journal={BMJ Global Health},
  volume={4},
  publisher={BMJ Publishing Group},
  year = "2019"
}

Patient centred variables with univariate associations with unplanned ICU admission: a systematic review

Malycha J, Bonnici T, Clifton D, Ludbrook G, Young JD et al. (2019), BMC Medical Informatics and Decision Making, 19(1)

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@article{patientcentredv-2019/5,
  title={Patient centred variables with univariate associations with unplanned ICU admission: a systematic review},
  author={Malycha J, Bonnici T, Clifton D, Ludbrook G, Young JD et al.},
  journal={BMC Medical Informatics and Decision Making},
  volume={19},
  number={98},
  publisher={BioMed Central},
  year = "2019"
}

How to maintain the maximal level of blinding in randomisation for a placebo-controlled drug trial

Clifton L & Clifton D (2019), Contemporary Clinical Trials Communications, 14

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@article{howtomaintainth-2019/4,
  title={How to maintain the maximal level of blinding in randomisation for a placebo-controlled drug trial},
  author={Clifton L & Clifton D},
  journal={Contemporary Clinical Trials Communications},
  volume={14},
  number={100356},
  publisher={Elsevier},
  year = "2019"
}

The effect of fractional inspired oxygen concentration on early warning score performance: a database analysis

Malycha J, Farajidavar N, Pimentel MAF, Redfern O, Clifton DA et al. (2019), Resuscitation, 139, 192-199

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@article{theeffectoffrac-2019/4,
  title={The effect of fractional inspired oxygen concentration on early warning score performance: a database analysis},
  author={Malycha J, Farajidavar N, Pimentel MAF, Redfern O, Clifton DA et al.},
  journal={Resuscitation},
  volume={139},
  pages={192-199},
  publisher={Elsevier},
  year = "2019"
}

Patient-specific physiological monitoring and prediction using structured Gaussian processes

Zhu T, Wright Colopy G, Macewen C, Niehaus K, Yang Y et al. (2019), IEEE Access, 7, 58094-58103

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@article{patientspecific-2019/4,
  title={Patient-specific physiological monitoring and prediction using structured Gaussian processes},
  author={Zhu T, Wright Colopy G, Macewen C, Niehaus K, Yang Y et al.},
  journal={IEEE Access},
  volume={7},
  pages={58094-58103},
  publisher={Institute of Electrical and Electronics Engineers},
  year = "2019"
}

The correlation between baseline score and post-intervention score, and its implications for statistical analysis

Clifton L & Clifton D (2019), Trials, 43(20)

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@article{thecorrelationb-2019/1,
  title={The correlation between baseline score and post-intervention score, and its implications for statistical analysis},
  author={Clifton L & Clifton D},
  journal={Trials},
  volume={43},
  publisher={BioMed Central},
  year = "2019"
}

DeepAMR for predicting co-occurrent resistance of Mycobacterium tuberculosis

Yang Y, Walker TM, Walker AS, Wilson DJ, Peto TEA et al. (2019), Bioinformatics, 35(18), 3240-3249

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@article{deepamrforpredi-2019/1,
  title={DeepAMR for predicting co-occurrent resistance of Mycobacterium tuberculosis},
  author={Yang Y, Walker TM, Walker AS, Wilson DJ, Peto TEA et al.},
  journal={Bioinformatics},
  volume={35},
  pages={3240-3249},
  publisher={Oxford University Press},
  year = "2019"
}

Gaussian processes for personalized interpretable volatility metrics in the step-down ward

Colopy GW, Roberts SJ & Clifton D (2019), IEEE Journal of Biomedical and Health Informatics, 23(3), 949-959

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@article{gaussianprocess-2019/1,
  title={Gaussian processes for personalized interpretable volatility metrics in the step-down ward},
  author={Colopy GW, Roberts SJ & Clifton D},
  journal={IEEE Journal of Biomedical and Health Informatics},
  volume={23},
  pages={949-959},
  publisher={Institute of Electrical and Electronics Engineers},
  year = "2019"
}

Predicting atrial fibrillation in primary care using machine learning

Hill NR, Ayoubkhani D, McEwan P, Sugrue DM, Farooqui U et al. (2019), PloS One, 14(11)

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@article{predictingatria-2019/1,
  title={Predicting atrial fibrillation in primary care using machine learning},
  author={Hill NR, Ayoubkhani D, McEwan P, Sugrue DM, Farooqui U et al.},
  journal={PloS One},
  volume={14},
  number={e0224582},
  publisher={Public Library of Science},
  year = "2019"
}

Student-Teacher Curriculum Learning via Reinforcement Learning: Predicting Hospital Inpatient Admission Location

el-Bouri R, Eyre D, Watkinson P, Zhu T, Clifton DA et al. (2019), 25TH AMERICAS CONFERENCE ON INFORMATION SYSTEMS (AMCIS 2019)

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@article{studentteacherc-2019/,
  title={Student-Teacher Curriculum Learning via Reinforcement Learning: Predicting Hospital Inpatient Admission Location},
  author={el-Bouri R, Eyre D, Watkinson P, Zhu T, Clifton DA et al.},
  journal={25TH AMERICAS CONFERENCE ON INFORMATION SYSTEMS (AMCIS 2019)},
  year = "2019"
}

Estimation of respiratory rate from motion contaminated photoplethysmography signals incorporating accelerometry

Jarchi D, Charlton P, Pimentel M, Casson A, Tarassenko L et al. (2018), Healthcare Technology Letters, 6(1), 19-26

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@article{estimationofres-2018/12,
  title={Estimation of respiratory rate from motion contaminated photoplethysmography signals incorporating accelerometry},
  author={Jarchi D, Charlton P, Pimentel M, Casson A, Tarassenko L et al.},
  journal={Healthcare Technology Letters},
  volume={6},
  pages={19-26},
  publisher={Institution of Engineering and Technology},
  year = "2018"
}

Application of machine learning techniques to tuberculosis drug resistance analysis

Kouchaki S, Yang Y, Walker T, Walker A, Wilson D et al. (2018), Bioinformatics, 35(13), 2276-2282

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@article{applicationofma-2018/11,
  title={Application of machine learning techniques to tuberculosis drug resistance analysis},
  author={Kouchaki S, Yang Y, Walker T, Walker A, Wilson D et al.},
  journal={Bioinformatics},
  volume={35},
  pages={2276-2282},
  publisher={Oxford University Press},
  year = "2018"
}

Distributed inference condition monitoring system for rural infrastructure in the developing world

Greeff H, Manandhar A, Thomson P, Hope R & Clifton DA (2018), IEEE Sensors Journal, 19(5), 1820-1828

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@article{distributedinfe-2018/11,
  title={Distributed inference condition monitoring system for rural infrastructure in the developing world},
  author={Greeff H, Manandhar A, Thomson P, Hope R & Clifton DA},
  journal={IEEE Sensors Journal},
  volume={19},
  pages={1820-1828},
  publisher={IEEE},
  year = "2018"
}

Comparing different ways of calculating sample size for two independent means: A worked example

Clifton L, Birks J & Clifton D (2018), Contemporary Clinical Trials Communications, 13

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@article{comparingdiffer-2018/11,
  title={Comparing different ways of calculating sample size for two independent means: A worked example},
  author={Clifton L, Birks J & Clifton D},
  journal={Contemporary Clinical Trials Communications},
  volume={13},
  number={100309},
  publisher={Elsevier},
  year = "2018"
}

Prediction of susceptibility to first-line tuberculosis drugs by DNA sequencing

Allix-Béguec C, Arandjelovic I, Bi L, Clifton D, Crook DW et al. (2018), New England Journal of Medicine, 379(15), 1403-1415

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@article{predictionofsus-2018/10,
  title={Prediction of susceptibility to first-line tuberculosis drugs by DNA sequencing},
  author={Allix-Béguec C, Arandjelovic I, Bi L, Clifton D, Crook DW et al.},
  journal={New England Journal of Medicine},
  volume={379},
  pages={1403-1415},
  publisher={Massachusetts Medical Society},
  year = "2018"
}

Validation of instantaneous respiratory rate using reflectance PPG from different body positions

Jarchi D, Salvi D, Tarassenko L & Clifton D (2018), Sensors, 18(11)

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@article{validationofins-2018/10,
  title={Validation of instantaneous respiratory rate using reflectance PPG from different body positions},
  author={Jarchi D, Salvi D, Tarassenko L & Clifton D},
  journal={Sensors},
  volume={18},
  number={3705},
  publisher={MDPI},
  year = "2018"
}

Predicting in-hospital mortality and unanticipated admissions to the intensive care unit using routinely collected blood tests and vital signs: development and validation of a multivariable model

Redfern O, Pimentel M, Prytherch D, Meredith P, Clifton DA et al. (2018), Resuscitation, 133, 75-81

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@article{predictinginhos-2018/9,
  title={Predicting in-hospital mortality and unanticipated admissions to the intensive care unit using routinely collected blood tests and vital signs: development and validation of a multivariable model},
  author={Redfern O, Pimentel M, Prytherch D, Meredith P, Clifton DA et al.},
  journal={Resuscitation},
  volume={133},
  pages={75-81},
  publisher={Elsevier},
  year = "2018"
}

Smoothing effect in vital-sign recordings: fact or fiction? A retrospective cohort analysis of manual and continuous vital-sign measurements to assess data smoothing in post-operative care

Tomlinson HR, Pimentel MAF, Gerry S, Clifton DA, Tarassenko L et al. (2018), Anesthesia and Analgesia, 127(4), 960-966

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@article{smoothingeffect-2018/8,
  title={Smoothing effect in vital-sign recordings: fact or fiction? A retrospective cohort analysis of manual and continuous vital-sign measurements to assess data smoothing in post-operative care},
  author={Tomlinson HR, Pimentel MAF, Gerry S, Clifton DA, Tarassenko L et al.},
  journal={Anesthesia and Analgesia},
  volume={127},
  pages={960-966},
  publisher={Lippincott Williams & Wilkins},
  year = "2018"
}

Unsupervised Bayesian inference to fuse biosignal sensory estimates for personalising care

Zhu TT, Pimentel MAF, Clifford G & Clifton DA (2018), IEEE Journal of Biomedical and Health Informatics, 23(1), 47-58

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@article{unsupervisedbay-2018/6,
  title={Unsupervised Bayesian inference to fuse biosignal sensory estimates for personalising care},
  author={Zhu TT, Pimentel MAF, Clifford G & Clifton DA},
  journal={IEEE Journal of Biomedical and Health Informatics},
  volume={23},
  pages={47-58},
  publisher={IEEE},
  year = "2018"
}

Accelerometry-Based Estimation of Respiratory Rate for Post-Intensive Care Patient Monitoring

Jarchi D, Rodgers SJ, Tarassenko L & Clifton DA (2018), IEEE SENSORS JOURNAL, 18(12), 4981-4989

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@article{accelerometryba-2018/6,
  title={Accelerometry-Based Estimation of Respiratory Rate for Post-Intensive Care Patient Monitoring},
  author={Jarchi D, Rodgers SJ, Tarassenko L & Clifton DA},
  journal={IEEE SENSORS JOURNAL},
  volume={18},
  pages={4981-4989},
  year = "2018"
}

Bayesian fusion of physiological measurements using a signal quality extension

Zhu TT, Johnson AEW, Yang Y, Clifford GD & Clifton D (2018), Physiological Measurement , 39

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@article{bayesianfusiono-2018/6,
  title={Bayesian fusion of physiological measurements using a signal quality extension},
  author={Zhu TT, Johnson AEW, Yang Y, Clifford GD & Clifton D},
  journal={Physiological Measurement
},
  volume={39 },
  publisher={IOP Publishing},
  year = "2018"
}

Manual centile-based early warning scores derived from statistical distributions of observational vital-sign data

Watkinson P, Pimentel M, Clifton D & Tarassenko L (2018), Resuscitation, 129, 55-60

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@article{manualcentileba-2018/6,
  title={Manual centile-based early warning scores derived from statistical distributions of observational vital-sign data},
  author={Watkinson P, Pimentel M, Clifton D & Tarassenko L},
  journal={Resuscitation},
  volume={129},
  pages={55-60},
  publisher={Elsevier},
  year = "2018"
}

Applied machine learning for the prediction of growth of abdominal aortic aneurysm in humans

Lee R, Jarchi D, Perera R, Jones A, Cassimjee I et al. (2018), EJVES Short Reports, 39, 24-28

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@article{appliedmachinel-2018/5,
  title={Applied machine learning for the prediction of growth of abdominal aortic aneurysm in humans},
  author={Lee R, Jarchi D, Perera R, Jones A, Cassimjee I et al.},
  journal={EJVES Short Reports},
  volume={39},
  pages={24-28},
  publisher={Elsevier},
  year = "2018"
}

Point process models for novelty detection on spatial point patterns and their extremes

Pimentel MAF, Watkinson PJ & Clifton DA (2018), Computational Statistics and Data Analysis, 125, 86-103

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@article{pointprocessmod-2018/4,
  title={Point process models for novelty detection on spatial point patterns and their extremes},
  author={Pimentel MAF, Watkinson PJ & Clifton DA},
  journal={Computational Statistics and Data Analysis},
  volume={125},
  pages={86-103},
  publisher={Elsevier},
  year = "2018"
}

Visualisation of long-term ECG signals applied to post-intensive care patients

Jarchi D, Mahdi A, Tarassenko L & Clifton DA (2018), Proceedings of the 2018 IEEE 15th International Conference on Wearable and Implantable Body Sensor Networks (BSN), 165-168

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@inproceedings{visualisationof-2018/4,
  title={Visualisation of long-term ECG signals applied to post-intensive care patients},
  author={Jarchi D, Mahdi A, Tarassenko L & Clifton DA},
  booktitle={2018 IEEE 15th International Conference on Wearable and Implantable Body Sensor Networks (BSN)},
  pages={165-168},
  year = "2018"
}

Estimation of HRV and SpO2 from wrist-worn commercial sensors for clinical settings

Jarchi D, Salvi D, Velardo C, Mandi A, Tarassenko L et al. (2018), Proceedings of the 2018 IEEE 15th International Conference on Wearable and Implantable Body Sensor Networks (BSN 2018), 144-147

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@inproceedings{estimationofhrv-2018/4,
  title={Estimation of HRV and SpO2 from wrist-worn commercial sensors for clinical settings},
  author={Jarchi D, Salvi D, Velardo C, Mandi A, Tarassenko L et al.},
  booktitle={2018 IEEE 15th International Conference on Wearable and Implantable Body Sensor Networks (BSN)},
  pages={144-147},
  year = "2018"
}

Identifying patient-specific trajectories in haemodialysis using Bayesian Hierarchical Gaussian Processes

Zhu T, Colopy GW, Pugh CW & Clifton DA (2018), 2018 IEEE EMBS International Conference on Biomedical and Health Informatics, BHI 2018, 2018-January, 186-189

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@inproceedings{identifyingpati-2018/4,
  title={Identifying patient-specific trajectories in haemodialysis using Bayesian Hierarchical Gaussian Processes},
  author={Zhu T, Colopy GW, Pugh CW & Clifton DA},
  pages={186-189},
  year = "2018"
}

The Need for Intelligent Diagnostics

King SP, Mills AR, Kadirkamanathan V, Clifton DA, King SP et al. (2018), 71-91

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@misc{theneedforintel-2018/,
  title={The Need for Intelligent Diagnostics},
  author={King SP, Mills AR, Kadirkamanathan V, Clifton DA, King SP et al.},
  year = "2018"
}

Systems Engineering for EHM

King SP, Mills AR, Kadirkamanathan V, Clifton DA, King SP et al. (2018), 15-70

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@misc{systemsengineer-2018/,
  title={Systems Engineering for EHM},
  author={King SP, Mills AR, Kadirkamanathan V, Clifton DA, King SP et al.},
  year = "2018"
}

Monitoring Aircraft Engines

King SP, Mills AR, Kadirkamanathan V, Clifton DA, King SP et al. (2018), 149-175

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@misc{monitoringaircr-2018/,
  title={Monitoring Aircraft Engines},
  author={King SP, Mills AR, Kadirkamanathan V, Clifton DA, King SP et al.},
  year = "2018"
}

Machine Learning for Health Monitoring

King SP, Mills AR, Kadirkamanathan V, Clifton DA, King SP et al. (2018), 93-123

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@misc{machinelearning-2018/,
  title={Machine Learning for Health Monitoring},
  author={King SP, Mills AR, Kadirkamanathan V, Clifton DA, King SP et al.},
  year = "2018"
}

Future Directions in Health Monitoring

King SP, Mills AR, Kadirkamanathan V, Clifton DA, King SP et al. (2018), 177-202

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@misc{futuredirection-2018/,
  title={Future Directions in Health Monitoring},
  author={King SP, Mills AR, Kadirkamanathan V, Clifton DA, King SP et al.},
  year = "2018"
}

Equipment Health Monitoring in Complex Systems Introduction

King SP, Mills AR, Kadirkamanathan V, Clifton DA, King SP et al. (2018), 1-14

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@misc{equipmenthealth-2018/,
  title={Equipment Health Monitoring in Complex Systems Introduction},
  author={King SP, Mills AR, Kadirkamanathan V, Clifton DA, King SP et al.},
  year = "2018"
}

Case Studies of Medical Monitoring Systems

King SP, Mills AR, Kadirkamanathan V, Clifton DA, King SP et al. (2018), 125-147

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@misc{casestudiesofme-2018/,
  title={Case Studies of Medical Monitoring Systems},
  author={King SP, Mills AR, Kadirkamanathan V, Clifton DA, King SP et al.},
  year = "2018"
}

Implementing an electronic observation and early warning score chart in the emergency department: a feasibility study.

Pullinger R, Wilson S, Way R, Santos M, Wong D et al. (2017), European journal of emergency medicine : official journal of the European Society for Emergency Medicine, 24(6), e11-e16

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@article{implementingane-2017/12,
  title={Implementing an electronic observation and early warning score chart in the emergency department: a feasibility study.},
  author={Pullinger R, Wilson S, Way R, Santos M, Wong D et al.},
  journal={European journal of emergency medicine : official journal of the European Society for Emergency Medicine},
  volume={24},
  pages={e11-e16},
  year = "2017"
}

Bayesian optimisation of personalised models for patient vital-sign monitoring

Colopy GW, Roberts SJ & Clifton DA (2017), IEEE Journal of Biomedical and Health Informatics, 22(2), 301-310

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@article{bayesianoptimis-2017/12,
  title={Bayesian optimisation of personalised models for patient vital-sign monitoring},
  author={Colopy GW, Roberts SJ & Clifton DA},
  journal={IEEE Journal of Biomedical and Health Informatics},
  volume={22},
  pages={301-310},
  publisher={IEEE},
  year = "2017"
}

A robust fusion model for estimating respiratory rate from photoplethysmography and electrocardiography

Birrenkott DA, Pimentel MAF, Watkinson PJ & Clifton DA (2017), IEEE Transactions on Biomedical Engineering, 65(9), 2033-2041

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@article{arobustfusionmo-2017/12,
  title={A robust fusion model for estimating respiratory rate from photoplethysmography and electrocardiography},
  author={Birrenkott DA, Pimentel MAF, Watkinson PJ & Clifton DA},
  journal={IEEE Transactions on Biomedical Engineering},
  volume={65},
  pages={2033-2041},
  publisher={Institute of Electrical and Electronics Engineers},
  year = "2017"
}

Machine learning for classifying tuberculosis drug-resistance from DNA sequencing data

Yang Y, Niehaus KE, Walker TM, Iqbal Z, Walker A et al. (2017), Bioinformatics, 36(10), 1666-1671

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@article{machinelearning-2017/12,
  title={Machine learning for classifying tuberculosis drug-resistance from DNA sequencing data},
  author={Yang Y, Niehaus KE, Walker TM, Iqbal Z, Walker A et al.},
  journal={Bioinformatics},
  volume={36},
  pages={1666-1671},
  publisher={Oxford University Press},
  year = "2017"
}

Bayesian Optimisation of Personalised Models for Patient Vital-Sign Monitoring.

Colopy GW, Roberts S & Clifton D (2017), IEEE journal of biomedical and health informatics

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@article{bayesianoptimis-2017/12,
  title={Bayesian Optimisation of Personalised Models for Patient Vital-Sign Monitoring.},
  author={Colopy GW, Roberts S & Clifton D},
  journal={IEEE journal of biomedical and health informatics},
  year = "2017"
}

A robust fusion model for estimating respiratory rate from photoplethysmography and electrocardiography

Birrenkott D, Pimentel M, Watkinson P & Clifton D (2017), IEEE Transactions of Biomedical Engineering, 65(9), 2033-2041

Altmetric score is
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@article{arobustfusionmo-2017/12,
  title={A robust fusion model for estimating respiratory rate from photoplethysmography and electrocardiography},
  author={Birrenkott D, Pimentel M, Watkinson P & Clifton D},
  journal={IEEE Transactions of Biomedical Engineering},
  volume={65},
  pages={2033-2041},
  publisher={IEEE},
  year = "2017"
}

Component isolation for multi-component signal analysis using a non-parametric gaussian latent feature model

Yang Y, Peng Z, Dong X, Zhang W & Clifton DA (2017), Mechanical Systems and Signal Processing, 103, 368-380

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@article{componentisolat-2017/11,
  title={Component isolation for multi-component signal analysis using a non-parametric gaussian latent feature model},
  author={Yang Y, Peng Z, Dong X, Zhang W & Clifton DA},
  journal={Mechanical Systems and Signal Processing},
  volume={103},
  pages={368-380},
  publisher={Elsevier},
  year = "2017"
}

Breathing rate estimation from the electrocardiogram and photoplethysmogram: a review

Charlton P, Birrenkott DA, Bonnici T, Pimentel MAF, Johnson AEW et al. (2017), IEEE Reviews in Biomedical Engineering, 11, 2-20

Altmetric score is
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@article{breathingratees-2017/10,
  title={Breathing rate estimation from the electrocardiogram and photoplethysmogram: a review},
  author={Charlton P, Birrenkott DA, Bonnici T, Pimentel MAF, Johnson AEW et al.},
  journal={IEEE Reviews in Biomedical Engineering},
  volume={11},
  pages={2-20},
  publisher={IEEE},
  year = "2017"
}

Likelihood-based artefact detection in continuously-acquired patient vital signs

Colopy GW, Zhu T, Clifton L, Roberts SJ & Clifton DA (2017), 2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2146-2149

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@inproceedings{likelihoodbased-2017/9,
  title={Likelihood-based artefact detection in continuously-acquired patient vital signs},
  author={Colopy GW, Zhu T, Clifton L, Roberts SJ & Clifton DA},
  pages={2146-2149},
  year = "2017"
}

Profiling the propagation of error from PPG to HRV features in a wearable physiological-monitoring device

Morelli D, Bartoloni L, Colombo M, Plans D & Clifton DA (2017), Healthcare Technology Letters, 5(2), 59-64

Altmetric score is
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@article{profilingthepro-2017/7,
  title={Profiling the propagation of error from PPG to HRV features in a wearable physiological-monitoring device},
  author={Morelli D, Bartoloni L, Colombo M, Plans D & Clifton DA},
  journal={Healthcare Technology Letters},
  volume={5},
  pages={59-64},
  publisher={Institution of Engineering and Technology},
  year = "2017"
}

Personalised patient monitoring in haemodialysis using hierarchical Gaussian processes

Zhu T, Colopy GW, Pugh CW & Clifton DA (2017), 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society

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@inproceedings{personalisedpat-2017/5,
  title={Personalised patient monitoring in haemodialysis using hierarchical Gaussian processes},
  author={Zhu T, Colopy GW, Pugh CW & Clifton DA},
  year = "2017"
}

Drug resistance classification for Mycobacterium tuberculosis using multi-output model with stacked auto-encoders

Yang Y & Clifton D (2017), 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC’17)

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@inproceedings{drugresistancec-2017/5,
  title={Drug resistance classification for Mycobacterium tuberculosis using multi-output model with stacked auto-encoders},
  author={Yang Y & Clifton D},
  year = "2017"
}

Comparing different ways of calculating sample size for a randomised controlled trial using baseline and post-intervention measurements

Clifton L, Birks J & Clifton D (2017), 4th International Clinical Trials Methodology Conference (ICTMC) and the 38th Annual Meeting of the Society for Clinical Trials

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@inproceedings{comparingdiffer-2017/5,
  title={Comparing different ways of calculating sample size for a randomised controlled trial using baseline and post-intervention measurements},
  author={Clifton L, Birks J & Clifton D},
  year = "2017"
}

Bayesian optimisation of Gaussian processes for identifying the deteriorating patient

Colopy GW, Pimentel MAF, Roberts SJ & Clifton DA (2017), 2017 IEEE International Conference on Biomedical and Health Informatics, 85-88

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@inproceedings{bayesianoptimis-2017/4,
  title={Bayesian optimisation of Gaussian processes for identifying the deteriorating patient},
  author={Colopy GW, Pimentel MAF, Roberts SJ & Clifton DA},
  pages={85-88},
  year = "2017"
}

Accidental infrastructure for groundwater monitoring in Africa

Colchester F, Marais HG, Thomson P, Hope R & Clifton DA (2017), Environmental Modelling and Software, 91, 241-250

Altmetric score is
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@article{accidentalinfra-2017/2,
  title={Accidental infrastructure for groundwater monitoring in Africa},
  author={Colchester F, Marais HG, Thomson P, Hope R & Clifton DA},
  journal={Environmental Modelling and Software},
  volume={91},
  pages={241-250},
  publisher={Elsevier},
  year = "2017"
}

Extraction of respiratory signals from the electrocardiogram and photoplethysmogram: technical and physiological determinants

Charlton PH, Bonnici T, Tarassenko L, Alastruey J, Clifton D et al. (2017), Physiological Measurement, 38(5), 669-690

Altmetric score is
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@article{extractionofres-2017/1,
  title={Extraction of respiratory signals from the electrocardiogram and photoplethysmogram: technical and physiological determinants},
  author={Charlton PH, Bonnici T, Tarassenko L, Alastruey J, Clifton D et al.},
  journal={Physiological Measurement},
  volume={38},
  pages={669-690},
  publisher={IOP Publishing},
  year = "2017"
}

Bayesian Optimisation of Gaussian Processes for Identifying the Deteriorating Patient

Colopy GW, Pimentel MAF, Roberts S & Clifton DA (2017), 2017 IEEE EMBS INTERNATIONAL CONFERENCE ON BIOMEDICAL & HEALTH INFORMATICS (BHI)

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@inproceedings{bayesianoptimis-2017/1,
  title={Bayesian Optimisation of Gaussian Processes for Identifying the Deteriorating Patient},
  author={Colopy GW, Pimentel MAF, Roberts S & Clifton DA},
  year = "2017"
}

Analysis of teens’ chronic stress on micro-blog

Xue Y, Li Q, Zhao L, Jia J, Feng L et al. (2016), WISE 2016: Web Information Systems Engineering, 10042, 121-136

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@inproceedings{analysisofteens-2016/11,
  title={Analysis of teens’ chronic stress on micro-blog},
  author={Xue Y, Li Q, Zhao L, Jia J, Feng L et al.},
  pages={121-136},
  year = "2016"
}

Hospital Alerting Via Electronic Noticeboard (HAVEN) Study Protocol

Watkinson P, Young JD, Prytherch D, Tarassenko L, Clifton D et al. (2016), HAVEN Project

Altmetric score is
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@misc{hospitalalertin-2016/11,
  title={Hospital Alerting Via Electronic Noticeboard (HAVEN) Study Protocol},
  author={Watkinson P, Young JD, Prytherch D, Tarassenko L, Clifton D et al.},
  year = "2016"
}

Risk prediction for cardiovascular disease using ECG data in the China Kadoorie Biobank

Shen Y, Yang Y, Parish S, Chen Z, Clarke R et al. (2016), EMBC 16: 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society

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@inproceedings{riskpredictionf-2016/10,
  title={Risk prediction for cardiovascular disease using ECG data in the China Kadoorie Biobank},
  author={Shen Y, Yang Y, Parish S, Chen Z, Clarke R et al.},
  year = "2016"
}

Robust estimation of respiratory rate via ECG- and PPG-derived respiratory quality indices

Birrenkott D, Pimentel MAF, Watkinson PJ & Clifton DA (2016), EMBC 16: 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society

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@inproceedings{robustestimatio-2016/10,
  title={Robust estimation of respiratory rate via ECG- and PPG-derived respiratory quality indices},
  author={Birrenkott D, Pimentel MAF, Watkinson PJ & Clifton DA},
  year = "2016"
}

Bayesian Gaussian processes for identifying the deteriorating patient

Colopy GW, Pimentel MAF, Roberts SJ & Clifton DA (2016), 2016 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)

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@inproceedings{bayesiangaussia-2016/10,
  title={Bayesian Gaussian processes for identifying the deteriorating patient},
  author={Colopy GW, Pimentel MAF, Roberts SJ & Clifton DA},
  year = "2016"
}

Towards a robust estimation of respiratory rate from pulse oximeters

Pimentel MAF, Johnson AEW, Charlton PH, Birrenkott DA, Watkinson PJ et al. (2016), IEEE Transactions on Biomedical Engineering

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@article{towardsarobuste-2016/10,
  title={Towards a robust estimation of respiratory rate from pulse oximeters},
  author={Pimentel MAF, Johnson AEW, Charlton PH, Birrenkott DA, Watkinson PJ et al.},
  journal={IEEE Transactions on Biomedical Engineering},
  publisher={Institute of Electrical and Electronics Engineers},
  year = "2016"
}

One-class classification of point patterns of extremes

Luca S, Clifton DA & Vanrumste B (2016), Journal of Machine Learning Research, 17(191), 1-21

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@article{oneclassclassif-2016/9,
  title={One-class classification of point patterns of extremes},
  author={Luca S, Clifton DA & Vanrumste B},
  journal={Journal of Machine Learning Research},
  volume={17},
  pages={1-21},
  publisher={Journal of Machine Learning Research},
  year = "2016"
}

Identifying lineage effects when controlling for population structure improves power in bacterial association studies

Earle SG, Wu CH, Charlesworth J, Stoesser N, Gordon NC et al. (2016), Nature Microbiology, 1(5)

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@article{identifyingline-2016/4,
  title={Identifying lineage effects when controlling for population structure improves power in bacterial association studies},
  author={Earle SG, Wu CH, Charlesworth J, Stoesser N, Gordon NC et al.},
  journal={Nature Microbiology},
  volume={1},
  number={16041},
  publisher={Nature Research},
  year = "2016"
}

An assessment of algorithms to estimate respiratory rate from the electrocardiogram and photoplethysmogram.

Charlton PH, Bonnici T, Tarassenko L, Clifton DA, Beale R et al. (2016), Physiological measurement, 37(4), 610-626

Altmetric score is
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@article{anassessmentofa-2016/3,
  title={An assessment of algorithms to estimate respiratory rate from the electrocardiogram and photoplethysmogram.},
  author={Charlton PH, Bonnici T, Tarassenko L, Clifton DA, Beale R et al.},
  journal={Physiological measurement},
  volume={37},
  pages={610-626},
  year = "2016"
}

Analysis of a data-fusion system for continuous vital sign monitoring in an emergency department.

Wilson SJ, Wong D, Pullinger RM, Way R, Clifton DA et al. (2016), European journal of emergency medicine : official journal of the European Society for Emergency Medicine, 23(1), 28-32

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@article{analysisofadata-2016/2,
  title={Analysis of a data-fusion system for continuous vital sign monitoring in an emergency department.},
  author={Wilson SJ, Wong D, Pullinger RM, Way R, Clifton DA et al.},
  journal={European journal of emergency medicine : official journal of the European Society for Emergency Medicine},
  volume={23},
  pages={28-32},
  year = "2016"
}

Machine learning and decision support in critical care

Johnson AEW, Ghassemi MM, Nemati S, Niehaus KE, Clifton DA et al. (2016), Proceedings of the IEEE, 104(2), 444-466

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@article{machinelearning-2016/1,
  title={Machine learning and decision support in critical care},
  author={Johnson AEW, Ghassemi MM, Nemati S, Niehaus KE, Clifton DA et al.},
  journal={Proceedings of the IEEE},
  volume={104},
  pages={444-466},
  publisher={IEEE},
  year = "2016"
}

State-space approximations to Gaussian processes for patient vital-sign monitoring in computationally-constrained clinical environments

Colopy GW, Pimentel MAF, Roberts SJ & Clifton DA (2016), MEIbioeng 2016

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@inproceedings{statespaceappro-2016/1,
  title={State-space approximations to Gaussian processes for patient vital-sign monitoring in computationally-constrained clinical environments},
  author={Colopy GW, Pimentel MAF, Roberts SJ & Clifton DA},
  year = "2016"
}

Machine Learning for Healthcare Technologies

Clifton DA (2016), 1-303

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@book{machinelearning-2016/1,
  title={Machine Learning for Healthcare Technologies},
  author={Clifton DA},
  year = "2016"
}

A Bayesian model for fusing biomedical labels

Zhu T, Clifford GD & Clifton DA (2016), 127-159

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@misc{abayesianmodelf-2016/1,
  title={A Bayesian model for fusing biomedical labels},
  author={Zhu T, Clifford GD & Clifton DA},
  year = "2016"
}

Machine learning for healthcare technologies - an introduction

Clifton DA (2016), 1-6

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@misc{machinelearning-2016/1,
  title={Machine learning for healthcare technologies - an introduction},
  author={Clifton DA},
  year = "2016"
}

Predicting antibiotic resistance from genomic data

Yang Y, Niehaus KE & Clifton DA (2016), 203-226

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@misc{predictingantib-2016/1,
  title={Predicting antibiotic resistance from genomic data},
  author={Yang Y, Niehaus KE & Clifton DA},
  year = "2016"
}

Machine learning for chronic disease

Niehaus KE & Clifton DA (2016), 227-249

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@misc{machinelearning-2016/1,
  title={Machine learning for chronic disease},
  author={Niehaus KE & Clifton DA},
  year = "2016"
}

Patient physiological monitoring with machine learning

Pimentel MAF & Clifton DA (2016), 111-125

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@misc{patientphysiolo-2016/1,
  title={Patient physiological monitoring with machine learning},
  author={Pimentel MAF & Clifton DA},
  year = "2016"
}

Intelligent Electronic Health Systems

Clifton DA, Pimentel MAF, Niehaus KE, Clifton L, Peto TEA et al. (2016), 73-97

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@misc{intelligentelec-2016/,
  title={Intelligent Electronic Health Systems},
  author={Clifton DA, Pimentel MAF, Niehaus KE, Clifton L, Peto TEA et al.},
  year = "2016"
}

Bayesian fusion of algorithms for the robust estimation of respiratory rate from the photoplethysmogram

Zhu T, Pimentel MAF, Clifford GD & Clifton DA (2015), Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS, 2015-November, 6138-6141

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@inproceedings{bayesianfusiono-2015/11,
  title={Bayesian fusion of algorithms for the robust estimation of respiratory rate from the photoplethysmogram},
  author={Zhu T, Pimentel MAF, Clifford GD & Clifton DA},
  pages={6138-6141},
  year = "2015"
}

Whole-genome sequencing for prediction of Mycobacterium tuberculosis drug susceptibility and resistance: a retrospective cohort study

Walker T, Kohl T, Omar S, Iqbal Z & al. E (2015), Lancet. Infectious diseases, 15(10), 1193-1202

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@article{wholegenomesequ-2015/10,
  title={Whole-genome sequencing for prediction of Mycobacterium tuberculosis drug susceptibility and resistance: a retrospective cohort study},
  author={Walker T, Kohl T, Omar S, Iqbal Z & al. E},
  journal={Lancet. Infectious diseases},
  volume={15},
  pages={1193-1202},
  publisher={Elsevier},
  year = "2015"
}

Health informatics via machine learning for the clinical management of patients.

Clifton DA, Niehaus KE, Charlton P & Colopy GW (2015), Yearbook of Medical Informatics, 10(1), 38-43

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@article{healthinformati-2015/8,
  title={Health informatics via machine learning for the clinical management of patients.},
  author={Clifton DA, Niehaus KE, Charlton P & Colopy GW},
  journal={Yearbook of Medical Informatics},
  volume={10},
  pages={38-43},
  publisher={Thieme Publishing},
  year = "2015"
}

Phenotypic characterisation of Crohn's disease severity.

Niehaus KE, Uhlig HH & Clifton DA (2015), Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference, 2015, 7023-7026

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@inproceedings{phenotypicchara-2015/8,
  title={Phenotypic characterisation of Crohn's disease severity.},
  author={Niehaus KE, Uhlig HH & Clifton DA},
  pages={7023-7026},
  year = "2015"
}

Fusing continuous-valued medical labels using a Bayesian Model

Zhu T, Dunkley N, Behar J, Clifton D & Clifford GD (2015), Annals of Biomedical Engineering, 43(12), 2892-2902

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@article{fusingcontinuou-2015/6,
  title={Fusing continuous-valued medical labels using a Bayesian Model},
  author={Zhu T, Dunkley N, Behar J, Clifton D & Clifford GD},
  journal={Annals of Biomedical Engineering},
  volume={43},
  pages={2892-2902},
  publisher={Springer Verlag},
  year = "2015"
}

Fusing continuous-valued medical labels using a Bayesian model

Zhu T, Dunkley N, Behar J, Clifton DA & Clifford GD (2015), Annals of Biomedical Engineering, 43(12), 2892-2902

Altmetric score is
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@article{fusingcontinuou-2015/6,
  title={Fusing continuous-valued medical labels using a Bayesian model},
  author={Zhu T, Dunkley N, Behar J, Clifton DA & Clifford GD},
  journal={Annals of Biomedical Engineering},
  volume={43},
  pages={2892-2902},
  publisher={Springer},
  year = "2015"
}

Signal-quality indices for the electrocardiogram and photoplethysmogram: derivation and applications to wireless monitoring.

Orphanidou C, Bonnici T, Charlton P, Clifton D, Vallance D et al. (2015), IEEE journal of biomedical and health informatics, 19(3), 832-838

Altmetric score is
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@article{signalqualityin-2015/5,
  title={Signal-quality indices for the electrocardiogram and photoplethysmogram: derivation and applications to wireless monitoring.},
  author={Orphanidou C, Bonnici T, Charlton P, Clifton D, Vallance D et al.},
  journal={IEEE journal of biomedical and health informatics},
  volume={19},
  pages={832-838},
  year = "2015"
}

Smart handpumps: a preliminary data analysis

Colchester F, Greeff H, Thomson P, Hope R & Clifton D (2015), Appropriate Healthcare Technologies for Low Resource Settings (AHT 2014), 2014(CP632), 1-4

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@inproceedings{smarthandpumpsa-2015/4,
  title={Smart handpumps: a preliminary data analysis},
  author={Colchester F, Greeff H, Thomson P, Hope R & Clifton D},
  pages={1-4},
  year = "2015"
}

Multitask Gaussian processes for multivariate physiological time-series analysis.

Dürichen R, Pimentel MAF, Clifton L, Schweikard A & Clifton DA (2015)

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@article{multitaskgaussi-2015/1,
  title={

Multitask Gaussian processes for multivariate physiological time-series analysis.

},
  author={Dürichen R, Pimentel MAF, Clifton L, Schweikard A & Clifton DA},
  journal={},
  publisher={IEEE},
  year = "2015"
}

'Errors' and omissions in paper-based early warning scores: the association with changes in vital signs-a database analysis.

Clifton DA, Clifton L, Sandu DM, Smith GB, Tarassenko L et al. (2015), BMJ open, 5(7), e007376

Altmetric score is
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@article{errorsandomissi-2015/1,
  title={'Errors' and omissions in paper-based early warning scores: the association with changes in vital signs-a database analysis.},
  author={Clifton DA, Clifton L, Sandu DM, Smith GB, Tarassenko L et al.},
  journal={BMJ open},
  volume={5},
  pages={e007376},
  publisher={BMJ Publishing Group},
  year = "2015"
}

A Multivariate Timeseries Modeling Approach to Severity of Illness Assessment and Forecasting in ICU with Sparse, Heterogeneous Clinical Data.

Ghassemi M, Pimentel MAF, Naumann T, Brennan T, Clifton DA et al. (2015), Proceedings of the ... AAAI Conference on Artificial Intelligence. AAAI Conference on Artificial Intelligence, 2015, 446-453

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@inproceedings{amultivariateti-2015/1,
  title={A Multivariate Timeseries Modeling Approach to Severity of Illness Assessment and Forecasting in ICU with Sparse, Heterogeneous Clinical Data.},
  author={Ghassemi M, Pimentel MAF, Naumann T, Brennan T, Clifton DA et al.},
  pages={446-453},
  year = "2015"
}

Probabilistic Estimation of Respiratory Rate from Wearable Sensors

Pimentel MAF, Charlton PH & Clifton DA (2015), 15, 241-262

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@misc{probabilistices-2015/,
  title={Probabilistic Estimation of Respiratory Rate from Wearable Sensors},
  author={Pimentel MAF, Charlton PH & Clifton DA},
  year = "2015"
}

A unified approach for respiratory motion prediction and correlation with multi-task Gaussian Processes

Dürichen R, Wissel T, Ernst F, Pimentel MAF, Clifton DA et al. (2014), IEEE International Workshop on Machine Learning for Signal Processing, MLSP

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@inproceedings{aunifiedapproac-2014/9,
  title={A unified approach for respiratory motion prediction and correlation with multi-task Gaussian Processes},
  author={Dürichen R, Wissel T, Ernst F, Pimentel MAF, Clifton DA et al.},
  year = "2014"
}

A review of novelty detection

Pimentel MAF, Clifton DA, Clifton L & Tarassenko L (2014), Signal Processing, 99, 215-249

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@article{areviewofnovelt-2014/6,
  title={A review of novelty detection},
  author={Pimentel MAF, Clifton DA, Clifton L & Tarassenko L},
  journal={Signal Processing},
  volume={99},
  pages={215-249},
  year = "2014"
}

Probabilistic novelty detection with support vector machines

Clifton L, Clifton DA, Zhang Y, Watkinson P, Tarassenko L et al. (2014), IEEE Transactions on Reliability, 63(2), 455-467

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@article{probabilisticno-2014/6,
  title={Probabilistic novelty detection with support vector machines},
  author={Clifton L, Clifton DA, Zhang Y, Watkinson P, Tarassenko L et al.},
  journal={IEEE Transactions on Reliability},
  volume={63},
  pages={455-467},
  publisher={Institute of Electrical and Electronics Engineers},
  year = "2014"
}

Non-contact video-based vital sign monitoring using ambient light and auto-regressive models.

Tarassenko L, Villarroel M, Guazzi A, Jorge J, Clifton D et al. (2014), Physiological measurement, 35(5), 807-831

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@article{noncontactvideo-2014/3,
  title={Non-contact video-based vital sign monitoring using ambient light and auto-regressive models.},
  author={Tarassenko L, Villarroel M, Guazzi A, Jorge J, Clifton D et al.},
  journal={Physiological measurement},
  volume={35},
  pages={807-831},
  publisher={IOP Publishing},
  year = "2014"
}

Multi-task Gaussian process models for biomedical applications

Durichen R, Pimentel MAF, Clifton L, Schweikard A & Clifton DA (2014), 2014 IEEE-EMBS International Conference on Biomedical and Health Informatics, BHI 2014, 492-495

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@inproceedings{multitaskgaussi-2014/1,
  title={Multi-task Gaussian process models for biomedical applications},
  author={Durichen R, Pimentel MAF, Clifton L, Schweikard A & Clifton DA},
  pages={492-495},
  year = "2014"
}

A $5 smart blood pressure system

Pimentel MAF, Santos MD, Maraci MA, Arteta C, Domingos JS et al. (2014), IET Conference Publications, 2014(CP632)

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@inproceedings{asmartbloodpres-2014/1,
  title={A $5 smart blood pressure system},
  author={Pimentel MAF, Santos MD, Maraci MA, Arteta C, Domingos JS et al.},
  year = "2014"
}

An intelligent cardiac health monitoring and review system

Zhu T, Osipov M, Papastylianou T, Oster J, Clifton DA et al. (2014), IET Conference Publications, 2014(CP632)

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@inproceedings{anintelligentca-2014/1,
  title={An intelligent cardiac health monitoring and review system},
  author={Zhu T, Osipov M, Papastylianou T, Oster J, Clifton DA et al.},
  year = "2014"
}

Sanitation-related disease surveillance using community health promoters and mobile phone technology

Fathima SF, Palmius N, Clifton D, Rohloff P, Clifford GD et al. (2014), IET Conference Publications, 2014(CP632)

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@inproceedings{sanitationrelat-2014/1,
  title={Sanitation-related disease surveillance using community health promoters and mobile phone technology},
  author={Fathima SF, Palmius N, Clifton D, Rohloff P, Clifford GD et al.},
  year = "2014"
}

Physiological trajectory of patients pre and post ICU discharge.

Johnson AEW, Burgess J, Pimentel MAF, Clifton DA, Young JD et al. (2014), Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference, 2014, 3160-3163

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@inproceedings{physiologicaltr-2014/1,
  title={Physiological trajectory of patients pre and post ICU discharge.},
  author={Johnson AEW, Burgess J, Pimentel MAF, Clifton DA, Young JD et al.},
  pages={3160-3163},
  year = "2014"
}

A Bayesian patient-based model for detecting deterioration in vital signs using manual observations

Khalid S, Clifton D & Tarassenko L (2014), Lecture Notes in Computer Science: FHIES 2013: Foundations of Health Information Engineering and Systems, 8315, 146-158

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@inproceedings{abayesianpatien-2014/1,
  title={A Bayesian patient-based model for detecting deterioration in vital signs using manual observations},
  author={Khalid S, Clifton D & Tarassenko L},
  pages={146-158},
  year = "2014"
}

Performance of early warning scoring systems to detect patient deterioration in the emergency department

Santos MD, Clifton DA & Tarassenko L (2014), Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 8315, 159-169

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@inproceedings{performanceofea-2014/1,
  title={Performance of early warning scoring systems to detect patient deterioration in the emergency department},
  author={Santos MD, Clifton DA & Tarassenko L},
  pages={159-169},
  year = "2014"
}

Detecting Adolescent Psychological Pressures from Micro-Blog

Xue Y, Li Q, Jin L, Feng L, Clifton DA et al. (2014), Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 8423 LNCS, 83-94

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@inproceedings{detectingadoles-2014/1,
  title={Detecting Adolescent Psychological Pressures from Micro-Blog},
  author={Xue Y, Li Q, Jin L, Feng L, Clifton DA et al.},
  pages={83-94},
  year = "2014"
}

Detecting Adolescent Psychological Pressures from Micro-Blog

Xue Y, Li Q, Jin L, Feng L, Clifton DA et al. (2014), HEALTH INFORMATION SCIENCE, HIS 2014, 8423, 83-94

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@inproceedings{detectingadoles-2014/,
  title={Detecting Adolescent Psychological Pressures from Micro-Blog},
  author={Xue Y, Li Q, Jin L, Feng L, Clifton DA et al.},
  pages={83-94},
  year = "2014"
}

Machine learning for the prediction of antibacterial susceptibility in Mycobacterium tuberculosis

Niehaus KE, Walker TM, Crook DW, Peto TEA, Clifton DA et al. (2014), 2014 IEEE-EMBS INTERNATIONAL CONFERENCE ON BIOMEDICAL AND HEALTH INFORMATICS (BHI), 618-621

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@inproceedings{machinelearning-2014/,
  title={Machine learning for the prediction of antibacterial susceptibility in Mycobacterium tuberculosis},
  author={Niehaus KE, Walker TM, Crook DW, Peto TEA, Clifton DA et al.},
  pages={618-621},
  year = "2014"
}

International workshop on Artificial Intelligence in Medical Applications

Pancerz K, Piatek L, Andrushevich A, Bazan J, Cardoso J et al. (2013), 2013 Federated Conference on Computer Science and Information Systems, FedCSIS 2013, 191

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@inproceedings{internationalwo-2013/12,
  title={International workshop on Artificial Intelligence in Medical Applications},
  author={Pancerz K, Piatek L, Andrushevich A, Bazan J, Cardoso J et al.},
  pages={191},
  year = "2013"
}

Gaussian process clustering for the functional characterisation of vital-sign trajectories

Pimentel MAF, Clifton DA & Tarassenko L (2013), IEEE International Workshop on Machine Learning for Signal Processing, MLSP

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@inproceedings{gaussianprocess-2013/12,
  title={Gaussian process clustering for the functional characterisation of vital-sign trajectories},
  author={Pimentel MAF, Clifton DA & Tarassenko L},
  year = "2013"
}

Predictive monitoring of mobile patients by combining clinical observations with data from wearable sensors.

Clifton L, Clifton DA, Pimentel MAF, Watkinson PJ & Tarassenko L (2013), IEEE Journal of Biomedical and Health Informatics, 18(3), 722-730

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@article{predictivemonit-2013/11,
  title={Predictive monitoring of mobile patients by combining clinical observations with data from wearable sensors.},
  author={Clifton L, Clifton DA, Pimentel MAF, Watkinson PJ & Tarassenko L},
  journal={IEEE Journal of Biomedical and Health Informatics},
  volume={18},
  pages={722-730},
  publisher={Institute of Electrical and Electronics Engineers},
  year = "2013"
}

Assessment of lung function using a non-invasive oscillating gas-forcing technique.

Clifton L, Clifton DA, Hahn CEW & Farmery AD (2013), Respir Physiol Neurobiol, 189(1), 174-182

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@article{assessmentoflun-2013/10,
  title={Assessment of lung function using a non-invasive oscillating gas-forcing technique.},
  author={Clifton L, Clifton DA, Hahn CEW & Farmery AD},
  journal={Respir Physiol Neurobiol},
  volume={189},
  pages={174-182},
  year = "2013"
}

Towards a micro-blog platform for sensing and easing adolescent psychological pressures

Xue Y, Clifford GD, Li Q, Clifton DA & Feng L (2013), UbiComp 2013 Adjunct - Adjunct Publication of the 2013 ACM Conference on Ubiquitous Computing, 215-218

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@inproceedings{towardsamicrobl-2013/10,
  title={Towards a micro-blog platform for sensing and easing adolescent psychological pressures},
  author={Xue Y, Clifford GD, Li Q, Clifton DA & Feng L},
  pages={215-218},
  year = "2013"
}

Probabilistic estimation of respiratory rate using Gaussian processes

Pimentel MAF, Clifton DA, Clifton L & Tarassenko L (2013), Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS, 2902-2905

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@inproceedings{probabilistices-2013/10,
  title={Probabilistic estimation of respiratory rate using Gaussian processes},
  author={Pimentel MAF, Clifton DA, Clifton L & Tarassenko L},
  pages={2902-2905},
  year = "2013"
}

Modelling physiological deterioration in post-operative patient vital-sign data.

Pimentel MAF, Clifton DA, Clifton L, Watkinson PJ & Tarassenko L (2013), Med Biol Eng Comput, 51(8), 869-877

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@article{modellingphysio-2013/8,
  title={Modelling physiological deterioration in post-operative patient vital-sign data.},
  author={Pimentel MAF, Clifton DA, Clifton L, Watkinson PJ & Tarassenko L},
  journal={Med Biol Eng Comput},
  volume={51},
  pages={869-877},
  year = "2013"
}

A Large-Scale Clinical Validation of an Integrated Monitoring System in the Emergency Department

Clifton DA, Wong D, Clifton L, Wilson S, Way R et al. (2013), IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS, 17(4), 835-842

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@article{alargescaleclin-2013/7,
  title={A Large-Scale Clinical Validation of an Integrated Monitoring System in the Emergency Department},
  author={Clifton DA, Wong D, Clifton L, Wilson S, Way R et al.},
  journal={IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS},
  volume={17},
  pages={835-842},
  year = "2013"
}

The digital patient.

Bonnici T, Tarassenko L, Clifton DA & Watkinson P (2013), Clin Med (Lond), 13(3), 252-257

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@article{thedigitalpatie-2013/6,
  title={The digital patient.},
  author={Bonnici T, Tarassenko L, Clifton DA & Watkinson P},
  journal={Clin Med (Lond)},
  volume={13},
  pages={252-257},
  year = "2013"
}

The digital patient

Bonnici T, Tarassenko L, Clifton DA & Watkinson P (2013), Clinical Medicine, Journal of the Royal College of Physicians of London, 13(3), 252-257

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@article{thedigitalpatie-2013/6,
  title={The digital patient},
  author={Bonnici T, Tarassenko L, Clifton DA & Watkinson P},
  journal={Clinical Medicine, Journal of the Royal College of Physicians of London},
  volume={13},
  pages={252-257},
  year = "2013"
}

Track and trigger in an emergency department: An observational evaluation study

Wilson SJ, Wong D, Clifton D, Fleming S, Way R et al. (2013), Emergency Medicine Journal, 30(3), 186-191

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@article{trackandtrigger-2013/3,
  title={Track and trigger in an emergency department: An observational evaluation study},
  author={Wilson SJ, Wong D, Clifton D, Fleming S, Way R et al.},
  journal={Emergency Medicine Journal},
  volume={30},
  pages={186-191},
  year = "2013"
}

An extreme function theory for novelty detection

Clifton DA, Clifton L, Hugueny S, Wong D & Tarassenko L (2013), IEEE Journal on Selected Topics in Signal Processing, 7(1), 28-37

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@article{anextremefuncti-2013/2,
  title={An extreme function theory for novelty detection},
  author={Clifton DA, Clifton L, Hugueny S, Wong D & Tarassenko L},
  journal={IEEE Journal on Selected Topics in Signal Processing},
  volume={7},
  pages={28-37},
  year = "2013"
}

Gaussian processes for personalized e-health monitoring with wearable sensors

Clifton L, Clifton DA, Pimentel MAF, Watkinson PJ & Tarassenko L (2013), IEEE Transactions on Biomedical Engineering, 60(1), 193-197

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@article{gaussianprocess-2013/1,
  title={Gaussian processes for personalized e-health monitoring with wearable sensors},
  author={Clifton L, Clifton DA, Pimentel MAF, Watkinson PJ & Tarassenko L},
  journal={IEEE Transactions on Biomedical Engineering},
  volume={60},
  pages={193-197},
  year = "2013"
}

A Non-Invasive Method for Estimating Cardiopulmonary Variables Using Breath-by-Breath Injection of Two Tracer Gases.

Clifton L, Clifton D, Hahn CE & Farmeryy AD (2013), IEEE journal of translational engineering in health and medicine

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@article{anoninvasivemet-2013/1,
  title={A Non-Invasive Method for Estimating Cardiopulmonary Variables Using Breath-by-Breath Injection of Two Tracer Gases.},
  author={Clifton L, Clifton D, Hahn CE & Farmeryy AD},
  journal={IEEE journal of translational engineering in health and medicine},
  year = "2013"
}

Extending the Generalised Pareto Distribution for Novelty Detection in High-Dimensional Spaces

Clifton DA, Clifton L, Hugueny S & Tarassenko L (2013), Journal of Signal Processing Systems, 1-17

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@article{extendingthegen-2013/,
  title={Extending the Generalised Pareto Distribution for Novelty Detection in High-Dimensional Spaces},
  author={Clifton DA, Clifton L, Hugueny S & Tarassenko L},
  journal={Journal of Signal Processing Systems},
  pages={1-17},
  year = "2013"
}

A two-class approach to the detection of physiological deterioration in patient vital signs, with clinical label refinement

Khalid S, Clifton DA, Clifton L & Tarassenko L (2012), IEEE Transactions on Information Technology in Biomedicine, 16(6), 1231-1238

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@article{atwoclassapproa-2012/12,
  title={A two-class approach to the detection of physiological deterioration in patient vital signs, with clinical label refinement},
  author={Khalid S, Clifton DA, Clifton L & Tarassenko L},
  journal={IEEE Transactions on Information Technology in Biomedicine},
  volume={16},
  pages={1231-1238},
  year = "2012"
}

Gaussian process regression in vital-sign early warning systems

Clifton L, Clifton DA, Pimentel MAF, Watkinson PJ & Tarassenko L (2012), Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS, 6161-6164

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@inproceedings{gaussianprocess-2012/12,
  title={Gaussian process regression in vital-sign early warning systems},
  author={Clifton L, Clifton DA, Pimentel MAF, Watkinson PJ & Tarassenko L},
  pages={6161-6164},
  year = "2012"
}

Probabilistic detection of vital sign abnormality with Gaussian process regression

Wong D, Clifton DA & Tarassenko L (2012), IEEE 12th International Conference on BioInformatics and BioEngineering, BIBE 2012, 187-192

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@article{probabilisticde-2012/12,
  title={Probabilistic detection of vital sign abnormality with Gaussian process regression},
  author={Wong D, Clifton DA & Tarassenko L},
  journal={IEEE 12th International Conference on BioInformatics and BioEngineering, BIBE 2012},
  pages={187-192},
  year = "2012"
}

Introduction

Yin H & Clifton D (2012), International Journal of Neural Systems, 22(5)

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@article{introduction-2012/10,
  title={Introduction},
  author={Yin H & Clifton D},
  journal={International Journal of Neural Systems},
  volume={22},
  year = "2012"
}

Machine learning and software engineering in health informatics

Clifton DA, Gibbons J, Davies J & Tarassenko L (2012), 2012 1st International Workshop on Realizing AI Synergies in Software Engineering, RAISE 2012 - Proceedings, 37-41

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@article{machinelearning-2012/7,
  title={Machine learning and software engineering in health informatics},
  author={Clifton DA, Gibbons J, Davies J & Tarassenko L},
  journal={2012 1st International Workshop on Realizing AI Synergies in Software Engineering, RAISE 2012 - Proceedings},
  pages={37-41},
  year = "2012"
}

Vital-sign data fusion models for post-operative patients

Pimentel MAF, Clifton DA, Clifton L, Watkinson PJ & Tarassenko L (2012), BIOSIGNALS 2012 - Proceedings of the International Conference on Bio-Inspired Systems and Signal Processing, 410-413

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@inproceedings{vitalsigndatafu-2012/6,
  title={Vital-sign data fusion models for post-operative patients},
  author={Pimentel MAF, Clifton DA, Clifton L, Watkinson PJ & Tarassenko L},
  pages={410-413},
  year = "2012"
}

Wireless technology in disease management and medicine.

Clifford GD & Clifton D (2012), Annual review of medicine, 63, 479-492

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@article{wirelesstechnol-2012/1,
  title={Wireless technology in disease management and medicine.},
  author={Clifford GD & Clifton D},
  journal={Annual review of medicine},
  volume={63},
  pages={479-492},
  year = "2012"
}

Photoplethysmographic derivation of respiratory rate: a review of relevant physiology.

Meredith DJ, Clifton D, Charlton P, Brooks J, Pugh CW et al. (2012), Journal of medical engineering & technology, 36(1), 1-7

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@article{photoplethysmog-2012/1,
  title={Photoplethysmographic derivation of respiratory rate: a review of relevant physiology.},
  author={Meredith DJ, Clifton D, Charlton P, Brooks J, Pugh CW et al.},
  journal={Journal of medical engineering & technology},
  volume={36},
  pages={1-7},
  year = "2012"
}

Depression and cancer

Couper JW, Pollard AC & Clifton DA (2012), Medical Journal of Australia, 1, 13-17

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@article{depressionandca-2012/1,
  title={Depression and cancer},
  author={Couper JW, Pollard AC & Clifton DA},
  journal={Medical Journal of Australia},
  volume={1},
  pages={13-17},
  year = "2012"
}

Gaussian process regression in vital-sign early warning systems.

Clifton L, Clifton DA, Pimentel MA, Watkinson PJ & Tarassenko L (2012), Conference proceedings : ... Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Conference, 2012, 6161-6164

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@article{gaussianprocess-2012/,
  title={Gaussian process regression in vital-sign early warning systems.},
  author={Clifton L, Clifton DA, Pimentel MA, Watkinson PJ & Tarassenko L},
  journal={Conference proceedings : ... Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Conference},
  volume={2012},
  pages={6161-6164},
  year = "2012"
}

Novelty Detection with Multivariate Extreme Value Statistics

Clifton DA, Hugueny S & Tarassenko L (2011), JOURNAL OF SIGNAL PROCESSING SYSTEMS FOR SIGNAL IMAGE AND VIDEO TECHNOLOGY, 65(3), 371-389

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@article{noveltydetectio-2011/12,
  title={Novelty Detection with Multivariate Extreme Value Statistics},
  author={Clifton DA, Hugueny S & Tarassenko L},
  journal={JOURNAL OF SIGNAL PROCESSING SYSTEMS FOR SIGNAL IMAGE AND VIDEO TECHNOLOGY},
  volume={65},
  pages={371-389},
  year = "2011"
}

Semiconductor wireless technology for chronic disease management

Tarassenko L & Clifton DA (2011), ELECTRONICS LETTERS, 47(26), S30-S32

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@article{semiconductorwi-2011/12,
  title={Semiconductor wireless technology for chronic disease management},
  author={Tarassenko L & Clifton DA},
  journal={ELECTRONICS LETTERS},
  volume={47},
  pages={S30-S32},
  year = "2011"
}

Identification of patient deterioration in vital-sign data using one-class support vector machines

Clifton L, Clifton DA, Watkinson PJ & Tarassenko L (2011), 2011 Federated Conference on Computer Science and Information Systems, FedCSIS 2011, 125-131

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@inproceedings{identificationo-2011/12,
  title={Identification of patient deterioration in vital-sign data using one-class support vector machines},
  author={Clifton L, Clifton DA, Watkinson PJ & Tarassenko L},
  pages={125-131},
  year = "2011"
}

Towards assisted living via probabilistic vital-sign monitoring in the home

Clifton DA, Clifton L, Alvi M, Khalid S, Meredith D et al. (2011), IET Seminar Digest, 2011(13611)

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@inproceedings{towardsassisted-2011/12,
  title={Towards assisted living via probabilistic vital-sign monitoring in the home},
  author={Clifton DA, Clifton L, Alvi M, Khalid S, Meredith D et al.},
  year = "2011"
}

Feature extraction and wall motion classification of 2D stress echocardiography with relevance vector machines

Chykeyuk K, Clifton DA & Noble JA (2011), Proceedings - International Symposium on Biomedical Imaging, 677-680

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@article{featureextracti-2011/11,
  title={Feature extraction and wall motion classification of 2D stress echocardiography with relevance vector machines},
  author={Chykeyuk K, Clifton DA & Noble JA},
  journal={Proceedings - International Symposium on Biomedical Imaging},
  pages={677-680},
  year = "2011"
}

Annual Review: Wireless Technology in Disease State Management and Medicine

Clifford GD & Clifton DA (2011), Annual Review of Medicine(63), 479-492

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@article{annualreviewwir-2011/11,
  title={Annual Review: Wireless Technology in Disease State Management and Medicine},
  author={Clifford GD & Clifton DA},
  journal={Annual Review of Medicine},
  pages={479-492},
  year = "2011"
}

Novelty detection for identifying deterioration in emergency department patients

Clifton DA, Wong D, Fleming S, Wilson SJ, Way R et al. (2011), Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 6936 LNCS, 220-227

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@article{noveltydetectio-2011/9,
  title={Novelty detection for identifying deterioration in emergency department patients},
  author={Clifton DA, Wong D, Fleming S, Wilson SJ, Way R et al.},
  journal={Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)},
  volume={6936 LNCS},
  pages={220-227},
  year = "2011"
}

Centile-based early warning scores derived from statistical distributions of vital signs.

Tarassenko L, Clifton DA, Pinsky MR, Hravnak MT, Woods JR et al. (2011), Resuscitation, 82(8), 1013-1018

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@article{centilebasedear-2011/8,
  title={Centile-based early warning scores derived from statistical distributions of vital signs.},
  author={Tarassenko L, Clifton DA, Pinsky MR, Hravnak MT, Woods JR et al.},
  journal={Resuscitation},
  volume={82},
  pages={1013-1018},
  year = "2011"
}

Monitoring patient vital-sign deterioration trajectories using Bayesian inference

Khalid S, Clifton D & Tarassenko L (2011), Proceedings of the 6th UKRI PG Conference in Biomedical Engineering and Medical Physics 2011, 1

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@inproceedings{monitoringpatie-2011/8,
  title={Monitoring patient vital-sign deterioration trajectories using Bayesian inference},
  author={Khalid S, Clifton D & Tarassenko L},
  pages={1},
  year = "2011"
}

Optimising classifiers for the detection of physiological deterioration in patient vital-sign data

Khalid S, Clifton DA, Clifton L & Tarassenko L (2011), BIOSIGNALS 2011 - Proceedings of the International Conference on Bio-Inspired Systems and Signal Processing, 425-428

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@inproceedings{optimisingclass-2011/7,
  title={Optimising classifiers for the detection of physiological deterioration in patient vital-sign data},
  author={Khalid S, Clifton DA, Clifton L & Tarassenko L},
  pages={425-428},
  year = "2011"
}

Feature extraction and wall motion classification of 2D stress echocardiography with support vector machines

Chykeyuk K, Clifton DA & Noble JA (2011), Progress in Biomedical Optics and Imaging - Proceedings of SPIE, 7963

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@inproceedings{featureextracti-2011/5,
  title={Feature extraction and wall motion classification of 2D stress echocardiography with support vector machines},
  author={Chykeyuk K, Clifton DA & Noble JA},
  year = "2011"
}

Probabilistic patient monitoring with multivariate, multimodal extreme value theory

Hugueny S, Clifton DA & Tarassenko L (2011), Communications in Computer and Information Science, 127 CCIS, 199-211

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@inproceedings{probabilisticpa-2011/3,
  title={Probabilistic patient monitoring with multivariate, multimodal extreme value theory},
  author={Hugueny S, Clifton DA & Tarassenko L},
  pages={199-211},
  year = "2011"
}

PINNING THE TAIL ON THE DISTRIBUTION: A MULTIVARIATE EXTENSION TO THE GENERALISED PARETO DISTRIBUTION

Clifton DA, Hugueny S, Tarassenko L & IEEE (2011), 2011 IEEE INTERNATIONAL WORKSHOP ON MACHINE LEARNING FOR SIGNAL PROCESSING (MLSP)

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@inproceedings{pinningthetailo-2011/,
  title={PINNING THE TAIL ON THE DISTRIBUTION: A MULTIVARIATE EXTENSION TO THE GENERALISED PARETO DISTRIBUTION},
  author={Clifton DA, Hugueny S, Tarassenko L & IEEE },
  year = "2011"
}

Towards a data fusion model for predicting deterioration in dialysis patients

Borhani Y, Fleming S, Clifton DA, Sutherland S, Hills L et al. (2010), Computing in Cardiology, 37, 967-970

Altmetric score is
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@article{towardsadatafus-2010/12,
  title={Towards a data fusion model for predicting deterioration in dialysis patients},
  author={Borhani Y, Fleming S, Clifton DA, Sutherland S, Hills L et al.},
  journal={Computing in Cardiology},
  volume={37},
  pages={967-970},
  year = "2010"
}

Probabilistic patient monitoring using extreme value theory: A multivariate, multimodal methodology for detecting patient deterioration

Hugueny S, Clifton DA & Tarassenko L (2010), BIOSIGNALS 2010 - Proceedings of the 3rd International Conference on Bio-inpsired Systems and Signal Processing, Proceedings, 5-12

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@article{probabilisticpa-2010/9,
  title={Probabilistic patient monitoring using extreme value theory: A multivariate, multimodal methodology for detecting patient deterioration},
  author={Hugueny S, Clifton DA & Tarassenko L},
  journal={BIOSIGNALS 2010 - Proceedings of the 3rd International Conference on Bio-inpsired Systems and Signal Processing, Proceedings},
  pages={5-12},
  year = "2010"
}

Stable distributions for heavy-tailed data and their application in asset health monitoring

Sundaram S, McDonald K & Clifton DA (2010), 7th International Conference on Condition Monitoring and Machinery Failure Prevention Technologies 2010, CM 2010/MFPT 2010, 1, 712-721

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@inproceedings{stabledistribut-2010/1,
  title={Stable distributions for heavy-tailed data and their application in asset health monitoring},
  author={Sundaram S, McDonald K & Clifton DA},
  pages={712-721},
  year = "2010"
}

A comparison of approaches to multivariate extreme value theory for novelty detection

Clifton DA, Hugueny S & Tarassenko L (2009), IEEE Workshop on Statistical Signal Processing Proceedings, 13-16

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@inproceedings{acomparisonofap-2009/12,
  title={A comparison of approaches to multivariate extreme value theory for novelty detection},
  author={Clifton DA, Hugueny S & Tarassenko L},
  pages={13-16},
  year = "2009"
}

Novelty detection with multivariate extreme value theory, part II: An analytical approach to unimodal estimation

Hugueny S, Clifton DA & Tarassenko L (2009), Machine Learning for Signal Processing XIX - Proceedings of the 2009 IEEE Signal Processing Society Workshop, MLSP 2009

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@inproceedings{noveltydetectio-2009/12,
  title={Novelty detection with multivariate extreme value theory, part II: An analytical approach to unimodal estimation},
  author={Hugueny S, Clifton DA & Tarassenko L},
  year = "2009"
}

Novelty detection with multivariate extreme value theory, part I: A numerical approach to multimodal estimation

Clifton DA, Hugueny S & Tarassenko L (2009), Machine Learning for Signal Processing XIX - Proceedings of the 2009 IEEE Signal Processing Society Workshop, MLSP 2009

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@article{noveltydetectio-2009/12,
  title={Novelty detection with multivariate extreme value theory, part I: A numerical approach to multimodal estimation},
  author={Clifton DA, Hugueny S & Tarassenko L},
  journal={Machine Learning for Signal Processing XIX - Proceedings of the 2009 IEEE Signal Processing Society Workshop, MLSP 2009},
  year = "2009"
}

Probabilistic approach to the condition monitoring of aerospace engines

King S, Bannister PR, Clifton DA & Tarassenko L (2009), Proceedings of the Institution of Mechanical Engineers, Part G: Journal of Aerospace Engineering, 223(5), 533-541

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@article{probabilisticap-2009/8,
  title={Probabilistic approach to the condition monitoring of aerospace engines},
  author={King S, Bannister PR, Clifton DA & Tarassenko L},
  journal={Proceedings of the Institution of Mechanical Engineers, Part G: Journal of Aerospace Engineering},
  volume={223},
  pages={533-541},
  year = "2009"
}

Aircraft engine health monitoring using density modelling and extreme value statistics

Sundaram S, Strachan IGD, Clifton DA, Tarassenko L & King S (2009), 6th International Conference on Condition Monitoring and Machinery Failure Prevention Technologies 2009, 2, 918-929

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@inproceedings{aircraftengineh-2009/1,
  title={Aircraft engine health monitoring using density modelling and extreme value statistics},
  author={Sundaram S, Strachan IGD, Clifton DA, Tarassenko L & King S},
  pages={918-929},
  year = "2009"
}

A hidden Markov model for condition monitoring of a manufacturing drilling process

Strachan IGD, Clifton DA, Sage C & Veselovac D (2009), 6th International Conference on Condition Monitoring and Machinery Failure Prevention Technologies 2009, 2, 802-813

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@inproceedings{ahiddenmarkovmo-2009/1,
  title={A hidden Markov model for condition monitoring of a manufacturing drilling process},
  author={Strachan IGD, Clifton DA, Sage C & Veselovac D},
  pages={802-813},
  year = "2009"
}

Novelty detection in jet engine vibration spectra

Clifton DA & Tarassenko L (2009), 6th International Conference on Condition Monitoring and Machinery Failure Prevention Technologies 2009, 2, 726-737

Altmetric score is
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@inproceedings{noveltydetectio-2009/1,
  title={Novelty detection in jet engine vibration spectra},
  author={Clifton DA & Tarassenko L},
  pages={726-737},
  year = "2009"
}

Patient-specific biomedical condition monitoring in post-operative cancer patients

Clifton DA, Clifton L, Tarassenko L, Watkinson PJ, Barber V et al. (2009), 6th International Conference on Condition Monitoring and Machinery Failure Prevention Technologies 2009, 1, 424-433

Altmetric score is
BibTeX
@inproceedings{patientspecific-2009/1,
  title={Patient-specific biomedical condition monitoring in post-operative cancer patients},
  author={Clifton DA, Clifton L, Tarassenko L, Watkinson PJ, Barber V et al.},
  pages={424-433},
  year = "2009"
}

Telemetry-based vital sign monitoring for ambulatory hospital patients.

Orphanidou C, Clifton D, Khan S, Smith M, Feldmar J et al. (2009), Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference, 2009, 4650-4653

Altmetric score is
BibTeX View PDF
@inproceedings{telemetrybasedv-2009/1,
  title={Telemetry-based vital sign monitoring for ambulatory hospital patients.},
  author={Orphanidou C, Clifton D, Khan S, Smith M, Feldmar J et al.},
  pages={4650-4653},
  year = "2009"
}

NOVELTY DETECTION WITH MULTIVARIATE EXTREME VALUE THEORY, PART II: AN ANALYTICAL APPROACH TO UNIMODAL ESTIMATION

Hugueny S, Clifton DA, Tarassenko L & IEEE (2009), 2009 IEEE INTERNATIONAL WORKSHOP ON MACHINE LEARNING FOR SIGNAL PROCESSING, 258-263

Altmetric score is
BibTeX
@inproceedings{noveltydetectio-2009/,
  title={NOVELTY DETECTION WITH MULTIVARIATE EXTREME VALUE THEORY, PART II: AN ANALYTICAL APPROACH TO UNIMODAL ESTIMATION},
  author={Hugueny S, Clifton DA, Tarassenko L & IEEE },
  pages={258-263},
  year = "2009"
}

Novelty Detection in Jet Engine Vibration Spectra

Clifton DA & tarassenko L (2009), (IET) Condition Monitoring, 727-738

Altmetric score is
BibTeX
@article{noveltydetectio-2009/,
  title={Novelty Detection in Jet Engine Vibration Spectra},
  author={Clifton DA & tarassenko L},
  journal={(IET) Condition Monitoring},
  pages={727-738},
  year = "2009"
}

Bayesian extreme value statistics for novelty detection in gas-turbine engines

Clifton DA, Tarassenko L, McGrogan N, King D, King S et al. (2008), IEEE Aerospace Conference Proceedings

Altmetric score is
BibTeX View PDF
@inproceedings{bayesianextreme-2008/8,
  title={Bayesian extreme value statistics for novelty detection in gas-turbine engines},
  author={Clifton DA, Tarassenko L, McGrogan N, King D, King S et al.},
  year = "2008"
}

Automated novelty detection in industrial systems

Clifton DA, Clifton LA, Bannister PR & Tarassenko L (2008), Studies in Computational Intelligence, 116, 269-296

Altmetric score is
BibTeX View PDF
@article{automatednovelt-2008/6,
  title={Automated novelty detection in industrial systems},
  author={Clifton DA, Clifton LA, Bannister PR & Tarassenko L},
  journal={Studies in Computational Intelligence},
  volume={116},
  pages={269-296},
  year = "2008"
}

Combined support vector novelty detection for multi-channel combustion data

Clifton LA, Yin H, Clifton DA & Zhang Y (2007), 2007 IEEE International Conference on Networking, Sensing and Control, ICNSC'07, 495-500

Altmetric score is
BibTeX View PDF
@inproceedings{combinedsupport-2007/10,
  title={Combined support vector novelty detection for multi-channel combustion data},
  author={Clifton LA, Yin H, Clifton DA & Zhang Y},
  pages={495-500},
  year = "2007"
}

Measurement of respiratory rate from the photoplethysmogram in chest clinic patients

Clifton D, Douglas GJ, Addison PS & Watson JN (2007), Journal of Clinical Monitoring and Computing, 21(1), 55-61

Altmetric score is
BibTeX View PDF
@article{measurementofre-2007/2,
  title={Measurement of respiratory rate from the photoplethysmogram in chest clinic patients},
  author={Clifton D, Douglas GJ, Addison PS & Watson JN},
  journal={Journal of Clinical Monitoring and Computing},
  volume={21},
  pages={55-61},
  year = "2007"
}

A framework for novelty detection in jet engine vibration data

Clifton DA, Bannister PR & Tarassenko L (2007), Key Engineering Materials, 347, 305-310

Altmetric score is
BibTeX View PDF
@inproceedings{aframeworkforno-2007/1,
  title={A framework for novelty detection in jet engine vibration data},
  author={Clifton DA, Bannister PR & Tarassenko L},
  pages={305-310},
  year = "2007"
}

Novelty detection in large-vehicle turbocharger operation

Clifton DA, Bannister PR & Tarassenko L (2007), Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 4570 LNAI, 591-600

Altmetric score is
BibTeX View PDF
@inproceedings{noveltydetectio-2007/1,
  title={Novelty detection in large-vehicle turbocharger operation},
  author={Clifton DA, Bannister PR & Tarassenko L},
  pages={591-600},
  year = "2007"
}

Two-dimensional tool design for two-dimensional equilibrium electrochemical machining die-sinking using a numerical method

McClennan J, Alder G, Sherlock A, Mill F & Clifton D (2006), Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture, 220(5), 637-645

Altmetric score is
BibTeX View PDF
@article{twodimensionalt-2006/12,
  title={Two-dimensional tool design for two-dimensional equilibrium electrochemical machining die-sinking using a numerical method},
  author={McClennan J, Alder G, Sherlock A, Mill F & Clifton D},
  journal={Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture},
  volume={220},
  pages={637-645},
  year = "2006"
}

An automated algorithm for determining respiratory rate by photoplethysmogram in children

Leonard PA, Clifton D, Addison PS, Watson JN & Beattie T (2006), Acta Paediatrica, International Journal of Paediatrics, 95(9), 1124-1128

Altmetric score is
BibTeX View PDF
@article{anautomatedalgo-2006/9,
  title={An automated algorithm for determining respiratory rate by photoplethysmogram in children},
  author={Leonard PA, Clifton D, Addison PS, Watson JN & Beattie T},
  journal={Acta Paediatrica, International Journal of Paediatrics},
  volume={95},
  pages={1124-1128},
  year = "2006"
}

Wavelet transform reassignment and the use of low-oscillation complex wavelets

Addison PS, Morvidone M, Watson JN & Clifton D (2006), Mechanical Systems and Signal Processing, 20(6), 1429-1443

Altmetric score is
BibTeX View PDF
@article{wavelettransfor-2006/8,
  title={Wavelet transform reassignment and the use of low-oscillation complex wavelets},
  author={Addison PS, Morvidone M, Watson JN & Clifton D},
  journal={Mechanical Systems and Signal Processing},
  volume={20},
  pages={1429-1443},
  year = "2006"
}

A fully automated algorithm for the determination of respiratory rate from the photoplethysmogram

Leonard PA, Douglas JG, Grubb NR, Clifton D, Addison PS et al. (2006), Journal of Clinical Monitoring and Computing, 20(1), 33-36

Altmetric score is
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@article{afullyautomated-2006/2,
  title={A fully automated algorithm for the determination of respiratory rate from the photoplethysmogram},
  author={Leonard PA, Douglas JG, Grubb NR, Clifton D, Addison PS et al.},
  journal={Journal of Clinical Monitoring and Computing},
  volume={20},
  pages={33-36},
  year = "2006"
}

Learning shape for jet engine novelty detection

Clifton DA, Bannister PR & Tarassenko L (2006), Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 3973 LNCS, 828-835

Altmetric score is
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@inproceedings{learningshapefo-2006/1,
  title={Learning shape for jet engine novelty detection},
  author={Clifton DA, Bannister PR & Tarassenko L},
  pages={828-835},
  year = "2006"
}

Application of an intuitive novelty metric for jet engine condition monitoring

Clifton DA, Bannister PR & Tarassenko L (2006), Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 4031 LNAI, 1149-1158

Altmetric score is
BibTeX View PDF
@inproceedings{applicationofan-2006/1,
  title={Application of an intuitive novelty metric for jet engine condition monitoring},
  author={Clifton DA, Bannister PR & Tarassenko L},
  pages={1149-1158},
  year = "2006"
}

An algorithm for the detection of individual breaths from the pulse oximeter waveform

Leonard P, Grubb NR, Addison PS, Clifton D & Watson JN (2004), Journal of Clinical Monitoring and Computing, 18(5-6), 309-312

Altmetric score is
BibTeX View PDF
@article{analgorithmfort-2004/12,
  title={An algorithm for the detection of individual breaths from the pulse oximeter waveform},
  author={Leonard P, Grubb NR, Addison PS, Clifton D & Watson JN},
  journal={Journal of Clinical Monitoring and Computing},
  volume={18},
  pages={309-312},
  year = "2004"
}

Wavelet-based analysis of heart-rate-dependent ECG features

Stiles MK, Clifton D, Grubb NR, Watson JN & Addison PS (2004), Annals of Noninvasive Electrocardiology, 9(4), 316-322

Altmetric score is
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@article{waveletbasedana-2004/10,
  title={Wavelet-based analysis of heart-rate-dependent ECG features},
  author={Stiles MK, Clifton D, Grubb NR, Watson JN & Addison PS},
  journal={Annals of Noninvasive Electrocardiology},
  volume={9},
  pages={316-322},
  year = "2004"
}

An integrated strategy for materials characterisation and process simulation in electrochemical machining

Mount AR, Clifton D, Howarth P & Sherlock A (2003), Journal of Materials Processing Technology, 138(1-3), 449-454

Altmetric score is
BibTeX View PDF
@inproceedings{anintegratedstr-2003/7,
  title={An integrated strategy for materials characterisation and process simulation in electrochemical machining},
  author={Mount AR, Clifton D, Howarth P & Sherlock A},
  pages={449-454},
  year = "2003"
}

Characterization and representation of non-ideal effects in electrochemical machining

Clifton D, Mount AR, Mill F & Howarth PS (2003), Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture, 217(3), 373-385

Altmetric score is
BibTeX View PDF
@article{characterizatio-2003/4,
  title={Characterization and representation of non-ideal effects in electrochemical machining},
  author={Clifton D, Mount AR, Mill F & Howarth PS},
  journal={Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture},
  volume={217},
  pages={373-385},
  year = "2003"
}

The electrochemical machining characteristics of stainless steels

Mount AR, Howarth PS & Clifton D (2003), Journal of the Electrochemical Society, 150(3)

Altmetric score is
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@article{theelectrochemi-2003/3,
  title={The electrochemical machining characteristics of stainless steels},
  author={Mount AR, Howarth PS & Clifton D},
  journal={Journal of the Electrochemical Society},
  volume={150},
  year = "2003"
}

Using wavelet transform reassignment techniques for ECG characterisation

Clifton D, Addison PS, Stiles MK, Legarreta IR, Grubb N et al. (2003), Computers in Cardiology, 30, 581-584

Altmetric score is
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@inproceedings{usingwavelettra-2003/1,
  title={Using wavelet transform reassignment techniques for ECG characterisation},
  author={Clifton D, Addison PS, Stiles MK, Legarreta IR, Grubb N et al.},
  pages={581-584},
  year = "2003"
}

Ultrasonic measurement of the inter-electrode gap in electrochemical machining

Clifton D, Mount AR, Alder GM & Jardine D (2002), International Journal of Machine Tools and Manufacture, 42(11), 1259-1267

Altmetric score is
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@article{ultrasonicmeasu-2002/9,
  title={Ultrasonic measurement of the inter-electrode gap in electrochemical machining},
  author={Clifton D, Mount AR, Alder GM & Jardine D},
  journal={International Journal of Machine Tools and Manufacture},
  volume={42},
  pages={1259-1267},
  year = "2002"
}

Nutrient availability and maize growth in a soil amended with earthworm casts from a South African indigenous species

Clifton D, Mount AR, Alder GM & Jardine D (2002), Bioresource Technology, 84(2), 197-201

Altmetric score is
BibTeX View PDF
@article{nutrientavailab-2002/5,
  title={Nutrient availability and maize growth in a soil amended with earthworm casts from a South African indigenous species},
  author={Clifton D, Mount AR, Alder GM & Jardine D},
  journal={Bioresource Technology},
  volume={84},
  pages={197-201},
  year = "2002"
}

The use of a segmented tool for the analysis of electrochemical machining

Mount AR, Howarth PS & Clifton D (2001), Journal of Applied Electrochemistry, 31(11), 1213-1220

Altmetric score is
BibTeX View PDF
@article{theuseofasegmen-2001/11,
  title={The use of a segmented tool for the analysis of electrochemical machining},
  author={Mount AR, Howarth PS & Clifton D},
  journal={Journal of Applied Electrochemistry},
  volume={31},
  pages={1213-1220},
  year = "2001"
}

The effects of machined workpiece surface integrity on the fatigue life of γ-titanium aluminide

Sharman ARC, Aspinwall DK, Dewes RC, Clifton D & Bowen P (2001), International Journal of Machine Tools and Manufacture, 41(11), 1681-1685

Altmetric score is
BibTeX View PDF
@article{theeffectsofmac-2001/9,
  title={The effects of machined workpiece surface integrity on the fatigue life of γ-titanium aluminide},
  author={Sharman ARC, Aspinwall DK, Dewes RC, Clifton D & Bowen P},
  journal={International Journal of Machine Tools and Manufacture},
  volume={41},
  pages={1681-1685},
  year = "2001"
}

Electrochemical machining of gamma titanium aluminide intermetallics

Clifton D, Mount AR, Jardine DJ & Roth R (2001), Journal of Materials Processing Technology, 108(3), 338-348

Altmetric score is
BibTeX View PDF
@article{electrochemical-2001/1,
  title={Electrochemical machining of gamma titanium aluminide intermetallics},
  author={Clifton D, Mount AR, Jardine DJ & Roth R},
  journal={Journal of Materials Processing Technology},
  volume={108},
  pages={338-348},
  year = "2001"
}

Diverless weld inspection and repair using ECM/ACFM techniques

Clifton D, Mill F, Esnaola J, Kare R & Dover D (2000), Underwater Technology, 24(4), 131-141

Altmetric score is
BibTeX
@article{diverlessweldin-2000/12,
  title={Diverless weld inspection and repair using ECM/ACFM techniques},
  author={Clifton D, Mill F, Esnaola J, Kare R & Dover D},
  journal={Underwater Technology},
  volume={24},
  pages={131-141},
  year = "2000"
}

Theoretical analysis of chronoamperometric transients in electrochemical machining and characterization of titanium 6/4 and Inconel 718 alloys

Mount AR, Eley KL & Clifton D (2000), Journal of Applied Electrochemistry, 30(4), 447-455

Altmetric score is
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@article{theoreticalanal-2000/1,
  title={Theoretical analysis of chronoamperometric transients in electrochemical machining and characterization of titanium 6/4 and Inconel 718 alloys},
  author={Mount AR, Eley KL & Clifton D},
  journal={Journal of Applied Electrochemistry},
  volume={30},
  pages={447-455},
  year = "2000"
}

A direct analytical solution to the tool design problem in electrochemical machining under steady state conditions

Alder GM, Clifton D & Mill F (2000), Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture, 214(8), 745-750

Altmetric score is
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@article{adirectanalytic-2000/1,
  title={A direct analytical solution to the tool design problem in electrochemical machining under steady state conditions},
  author={Alder GM, Clifton D & Mill F},
  journal={Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture},
  volume={214},
  pages={745-750},
  year = "2000"
}

An electrochemical machining method for removal of samples and defective zones in metal pipes, vessels and structures

Clifton D, Midgley JW & McGeough JA (1987), Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture, 201(4), 229-231

Altmetric score is
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@article{anelectrochemic-1987/1,
  title={An electrochemical machining method for removal of samples and defective zones in metal pipes, vessels and structures},
  author={Clifton D, Midgley JW & McGeough JA},
  journal={Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture},
  volume={201},
  pages={229-231},
  year = "1987"
}

Extreme Function Theory

Clifton DA, Hugueny S, Clifton L, Wong D & Tarassenko L (0)

Altmetric score is
BibTeX
@inproceedings{extremefunction-/,
  title={Extreme Function Theory},
  author={Clifton DA, Hugueny S, Clifton L, Wong D & Tarassenko L},
  booktitle={34th (?) Int. Conf. on Machine Learning}
}

Drug Resistance Classification for Mycobacterium tuberculosis using Multi-output Model with Stacked Auto-encoders

Yang Y & Clifton D (0)

Altmetric score is
BibTeX
@inproceedings{drugresistancec-/,
  title={Drug Resistance Classification for Mycobacterium tuberculosis using Multi-output Model with Stacked Auto-encoders},
  author={Yang Y & Clifton D}
}

Toward a Multivariate Prediction Model of Pharmacological Treatment for Women With Gestational Diabetes Mellitus: Algorithm Development and Validation (Preprint)

Velardo C, Clifton D, Hamblin S, Khan R, Tarassenko L et al. (0)

Altmetric score is
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@article{towardamultivar-/,
  title={Toward a Multivariate Prediction Model of Pharmacological Treatment for Women With Gestational Diabetes Mellitus: Algorithm Development and Validation (Preprint)},
  author={Velardo C, Clifton D, Hamblin S, Khan R, Tarassenko L et al.},
  journal={}
}

Physiological recovery among workers in long-distance sleddog race: a case study on female veterinarians in Finnmarksløpet

Clifton D & Morelli D (0), WORK

Altmetric score is
BibTeX
@article{physiologicalre-/,
  title={Physiological recovery among workers in long-distance sleddog race: a case study on female veterinarians in Finnmarksløpet},
  author={Clifton D & Morelli D},
  journal={WORK},
  publisher={IOS Press}
}

The 2021 WHO catalogue of Mycobacterium tuberculosis complex mutations associated with drug resistance: a genotypic analysis

Walker T, Miotto P, Koser C, Fowler P, Knaggs J et al. (0), The Lancet Microbe

Altmetric score is
BibTeX
@article{thewhocatalogue-/,
  title={The 2021 WHO catalogue of Mycobacterium tuberculosis complex mutations associated with drug resistance: a genotypic analysis},
  author={Walker T, Miotto P, Koser C, Fowler P, Knaggs J et al.},
  journal={The Lancet Microbe},
  publisher={Elsevier}
}

Real-world evaluation of AI driven COVID-19 triage for emergency admissions: External validation & operational assessment of lab-free and high-throughput screening solutions

Soltan A, Yang J, Pattanshetty R, Novak A, Yang Y et al. (0), Lancet Digital Health

Altmetric score is
BibTeX
@article{realworldevalua-/,
  title={Real-world evaluation of AI driven COVID-19 triage for emergency admissions: External validation & operational assessment of lab-free and high-throughput screening solutions},
  author={Soltan A, Yang J, Pattanshetty R, Novak A, Yang Y et al.},
  journal={Lancet Digital Health},
  publisher={Elsevier}
}

Machine Learning Generalizability Across Healthcare Settings: Insights from multi-site COVID-19 screening

Yang J, Soltan A & Clifton D (0), npj Digital Medicine

Altmetric score is
BibTeX
@article{machinelearning-/,
  title={Machine Learning Generalizability Across Healthcare Settings: Insights from multi-site COVID-19 screening},
  author={Yang J, Soltan A & Clifton D},
  journal={npj Digital Medicine},
  publisher={Nature Research (part of Springer Nature)}
}

A crowd of BashTheBug volunteers reproducibly and accurately measure the minimum inhibitory concentrations of 13 antitubercular drugs from photographs of 96-well broth microdilution plates

Fowler P, Wright C, Spiers H, Zhu T, Baeten E et al. (0), eLife

Altmetric score is
BibTeX
@article{acrowdofbashthe-/,
  title={A crowd of BashTheBug volunteers reproducibly and accurately measure the minimum inhibitory concentrations of 13 antitubercular drugs from photographs of 96-well broth microdilution plates},
  author={Fowler P, Wright C, Spiers H, Zhu T, Baeten E et al.},
  journal={eLife},
  publisher={eLife Sciences Publications}
}

A data compendium of Mycobacterium tuberculosis antibiotic resistance

Battaglia S, Borroni E, Brandao AP, Cabibbe AM, Carter J et al. (0), PLoS Biology

Altmetric score is
BibTeX
@article{adatacompendium-/,
  title={A data compendium of Mycobacterium tuberculosis antibiotic resistance},
  author={Battaglia S, Borroni E, Brandao AP, Cabibbe AM, Carter J et al.},
  journal={PLoS Biology},
  publisher={Public Library of Science}
}

Thinking Aloud or Screaming Inside: Exploration of Sentiment around Work

Clifton D & Hoque Tania M (0), JMIR Human Factors

Altmetric score is
BibTeX
@article{thinkingaloudor-/,
  title={Thinking Aloud or Screaming Inside: Exploration of Sentiment around Work},
  author={Clifton D & Hoque Tania M},
  journal={JMIR Human Factors},
  publisher={JMIR Publications}
}

Statistical analysis plan: Development and validation of prediction models for new-onset atrial fibrillation in patients admitted to an intensive care unit

Bedford J, Hatch R, Redfern O, Gerry S, Mertes G et al. (0)

Altmetric score is
BibTeX
@misc{statisticalanal-/,
  title={Statistical analysis plan: Development and validation of prediction models for new-onset atrial fibrillation in patients admitted to an intensive care unit},
  author={Bedford J, Hatch R, Redfern O, Gerry S, Mertes G et al.}
}

Privacy-aware early detection of COVID-19 through adversarial training

Rohanian M, Kouchaki S, Soltan A, Yang J, Yang Y et al. (0), IEEE Journal of Biomedical and Health Informatics

Altmetric score is
BibTeX
@article{privacyawareear-/,
  title={Privacy-aware early detection of COVID-19 through adversarial training},
  author={Rohanian M, Kouchaki S, Soltan A, Yang J, Yang Y et al.},
  journal={IEEE Journal of Biomedical and Health Informatics},
  publisher={IEEE}
}

Physical activity and asthma symptom control in children during COVID-19 lockdown: A feasibility study

Ding X, Whelan M, Clifton D & Zhu T (0), Digital Health

Altmetric score is
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@article{physicalactivit-/,
  title={Physical activity and asthma symptom control in children during COVID-19 lockdown: A feasibility study},
  author={Ding X, Whelan M, Clifton D & Zhu T},
  journal={Digital Health},
  publisher={SAGE Publications}
}

Retrieve, reason, and refine: generating accurate and faithful patient instructions

Liu F, Yang B, You C, Wu X, Ge S et al. (0), Proceedings of the 36th Conference on Neural Information Processing Systems (NeuRIPS 2022)

Altmetric score is
BibTeX
@inproceedings{retrievereasona-/,
  title={Retrieve, reason, and refine: generating accurate and faithful patient instructions},
  author={Liu F, Yang B, You C, Wu X, Ge S et al.},
  booktitle={36th Conference on Neural Information Processing Systems (NeuRIPS 2022)}
}

Expectation-maximization contrastive learning for compact video-and-language representations

Jin P, Huang J, Liu F, Wu X, Ge S et al. (0), Advances in Neural Information Processing Systems 35 (NeurIPS 2022)

Altmetric score is
BibTeX
@inproceedings{expectationmaxi-/,
  title={Expectation-maximization contrastive learning for compact video-and-language representations},
  author={Jin P, Huang J, Liu F, Wu X, Ge S et al.},
  booktitle={ 36th Conference on Neural Information Processing Systems (NeurIPS 2022)}
}

COPER: continuous patient state perceiver

Chauhan VK, O'Donoghue O, Clifton D & Thakur A (0)

Altmetric score is
BibTeX
@inproceedings{copercontinuous-/,
  title={COPER: continuous patient state perceiver},
  author={Chauhan VK, O'Donoghue O, Clifton D & Thakur A},
  booktitle={IEEE-EMBS International Conference on Biomedical and Health Informatics (BHI 2022)}
}

Digital health and machine learning technologies for blood glucose monitoring and management of gestational diabetes

Lu H, Ding X, Hirst J, Yang Y, Yang J et al. (0), IEEE Reviews in Biomedical Engineering

Altmetric score is
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@article{digitalhealthan-/,
  title={Digital health and machine learning technologies for blood glucose monitoring and management of gestational diabetes},
  author={Lu H, Ding X, Hirst J, Yang Y, Yang J et al.},
  journal={IEEE Reviews in Biomedical Engineering},
  publisher={IEEE}
}