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
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
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
BibTeX
@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
Wearable vital signs monitoring for patients with asthma: a review
Talyor L, Ding X, Clifton D & Lu HY (2022), IEEE Sensors Journal
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
BibTeX
@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
BibTeX
@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
BibTeX
@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
BibTeX
@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
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
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
BibTeX
@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
BibTeX
@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
BibTeX
@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
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
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)
BibTeX
@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
BibTeX
@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)
Weak Monotonicity with Trend Analysis for Unsupervised Feature Evaluation
Clifton D & Lu L (2022), IEEE Transactions on Cybernetics
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
BibTeX
@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
BibTeX
@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
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)
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)
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)
BibTeX
@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
BibTeX
@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
BibTeX
@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)
BibTeX
@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
BibTeX
@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
BibTeX
@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
BibTeX
@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
BibTeX
@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
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
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
BibTeX
@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)
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)
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
BibTeX
@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)
BibTeX
@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
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
BibTeX
@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)
BibTeX
@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
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
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)
BibTeX
@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
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)
BibTeX
@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
BibTeX
@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
CLOCS: contrastive learning of cardiac signals across space, time, and patients
Kiyasseh D, Zhu T & Clifton D (2021), 5606-5615
BibTeX
@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)
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)
BibTeX
@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)
BibTeX
@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)
BibTeX
@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
BibTeX
@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
BibTeX
@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
BibTeX
@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
BibTeX
@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)
BibTeX
@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
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
BibTeX
@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
BibTeX
@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)
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
BibTeX
@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
BibTeX
@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 )
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
BibTeX
@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
BibTeX
@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
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)
BibTeX
@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
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
BibTeX
@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)
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
BibTeX
@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
BibTeX
@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
BibTeX
@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
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
BibTeX
@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
BibTeX
@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
BibTeX
@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
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)
BibTeX
@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
BibTeX
@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
BibTeX
@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
BibTeX
@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)
BibTeX
@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
BibTeX
@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
BibTeX
@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)
BibTeX
@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)
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
BibTeX
@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
BibTeX
@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)
BibTeX
@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)
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)
Cardiovascular disease diagnosis using cross-domain transfer learning
Tadesse G, Zhu T, Liu Y, Zhou Y, Chen J et al. (2019), 4262-4265
BibTeX
@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
BibTeX
@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
BibTeX
@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)
BibTeX
@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
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)
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)
BibTeX
@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
BibTeX
@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
BibTeX
@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
BibTeX
@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)
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
BibTeX
@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
BibTeX
@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)
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)
BibTeX
@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
BibTeX
@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
BibTeX
@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
BibTeX
@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
BibTeX
@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
BibTeX
@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)
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
BibTeX
@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
BibTeX
@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
BibTeX
@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
Bayesian fusion of physiological measurements using a signal quality extension
Zhu TT, Johnson AEW, Yang Y, Clifford GD & Clifton D (2018), Physiological Measurement , 39
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
BibTeX
@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
BibTeX
@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
BibTeX
@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
BibTeX
@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
BibTeX
@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
The Need for Intelligent Diagnostics
King SP, Mills AR, Kadirkamanathan V, Clifton DA, King SP et al. (2018), 71-91
BibTeX
@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
BibTeX
@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
BibTeX
@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
BibTeX
@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
BibTeX
@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
BibTeX
@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
BibTeX
@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
BibTeX
@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
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
BibTeX
@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
BibTeX
@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
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
BibTeX
@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
BibTeX
@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
BibTeX
@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
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
BibTeX
@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
BibTeX
@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)
BibTeX
@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
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
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
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
BibTeX
@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)
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
Hospital Alerting Via Electronic Noticeboard (HAVEN) Study Protocol
Watkinson P, Young JD, Prytherch D, Tarassenko L, Clifton D et al. (2016), HAVEN Project
BibTeX
@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
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
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)
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
BibTeX
@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
BibTeX
@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)
BibTeX
@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
BibTeX
@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
BibTeX
@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
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
BibTeX
@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"
}
Intelligent Electronic Health Systems
Clifton DA, Pimentel MAF, Niehaus KE, Clifton L, Peto TEA et al. (2016), 73-97
BibTeX
@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
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
BibTeX
@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
BibTeX
@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
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
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
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
BibTeX
@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
Multitask Gaussian processes for multivariate physiological time-series analysis.
Dürichen R, Pimentel MAF, Clifton L, Schweikard A & Clifton DA (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
BibTeX
@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
BibTeX
@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
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
A review of novelty detection
Pimentel MAF, Clifton DA, Clifton L & Tarassenko L (2014), Signal Processing, 99, 215-249
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
BibTeX
@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
BibTeX
@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
A $5 smart blood pressure system
Pimentel MAF, Santos MD, Maraci MA, Arteta C, Domingos JS et al. (2014), IET Conference Publications, 2014(CP632)
BibTeX
@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)
BibTeX
@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)
BibTeX
@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
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
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
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
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
BibTeX
@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
BibTeX
@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
BibTeX
@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
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
BibTeX
@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
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
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
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
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
BibTeX
@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
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
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
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
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
BibTeX
@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
BibTeX
@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
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
BibTeX
@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
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
BibTeX
@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"
}
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
BibTeX
@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
BibTeX
@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
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
BibTeX
@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
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
BibTeX
@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
Semiconductor wireless technology for chronic disease management
Tarassenko L & Clifton DA (2011), ELECTRONICS LETTERS, 47(26), S30-S32
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
BibTeX
@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)
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
BibTeX
@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
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
BibTeX
@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
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
BibTeX
@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
BibTeX
@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
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
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)
BibTeX
@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
BibTeX
@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
BibTeX
@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
BibTeX
@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
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
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
BibTeX
@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
BibTeX
@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
BibTeX
@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
BibTeX
@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
BibTeX
@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
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
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
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
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
Automated novelty detection in industrial systems
Clifton DA, Clifton LA, Bannister PR & Tarassenko L (2008), Studies in Computational Intelligence, 116, 269-296
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
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
A framework for novelty detection in jet engine vibration data
Clifton DA, Bannister PR & Tarassenko L (2007), Key Engineering Materials, 347, 305-310
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
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
BibTeX
@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
BibTeX
@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
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
BibTeX
@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
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
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
BibTeX
@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
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
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
BibTeX
@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)
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
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
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
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
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
BibTeX
@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
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
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
BibTeX
@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
BibTeX
@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
BibTeX
@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)
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)
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)
Physiological recovery among workers in long-distance sleddog race: a case study on female veterinarians in Finnmarksløpet
Clifton D & Morelli D (0), WORK
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
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
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
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
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
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
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)
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
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
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)
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)
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)
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