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Showing 50 publications by Tingting Zhu

Machine learning and clinician predictions of antibiotic resistance in Enterobacterales bloodstream infections.

Yuan K, Luk A, Wei J, Walker AS, Zhu T et al. (2024), J Infect, 106388

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@article{machinelearning-2024/12,
  title={Machine learning and clinician predictions of antibiotic resistance in Enterobacterales bloodstream infections.},
  author={Yuan K, Luk A, Wei J, Walker AS, Zhu T et al.},
  journal={J Infect},
  number={106388},
  pages={106388},
  publisher={Elsevier BV},
  year = "2024"
}

A survey of few-shot learning for biomedical time series

Li C, Denison T & Zhu T (2024), IEEE Reviews in Biomedical Engineering, 1-19

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@article{asurveyoffewsho-2024/11,
  title={A survey of few-shot learning for biomedical time series},
  author={Li C, Denison T & Zhu T},
  journal={IEEE Reviews in Biomedical Engineering},
  pages={1-19},
  publisher={IEEE},
  year = "2024"
}

DySurv: dynamic deep learning model for survival analysis with conditional variational inference.

Mesinovic M, Watkinson P & Zhu T (2024), Journal of the American Medical Informatics Association : JAMIA, ocae271

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@article{dysurvdynamicde-2024/11,
  title={DySurv: dynamic deep learning model for survival analysis with conditional variational inference.},
  author={Mesinovic M, Watkinson P & Zhu T},
  journal={Journal of the American Medical Informatics Association : JAMIA},
  pages={ocae271},
  publisher={Oxford University Press (OUP)},
  year = "2024"
}

Benchmarking Large Language Models in Evidence-Based Medicine.

Li J, Deng Y, Sun Q, Zhu J, Tian Y et al. (2024), IEEE journal of biomedical and health informatics, PP

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@article{benchmarkinglar-2024/10,
  title={Benchmarking Large Language Models in Evidence-Based Medicine.},
  author={Li J, Deng Y, Sun Q, Zhu J, Tian Y et al.},
  journal={IEEE journal of biomedical and health informatics},
  volume={PP},
  year = "2024"
}

CliqueFluxNet: Unveiling EHR Insights with Stochastic Edge Fluxing and Maximal Clique Utilisation Using Graph Neural Networks

Molaei S, Bousejin NG, Ghosheh GO, Thakur A, Chauhan VK et al. (2024), Journal of Healthcare Informatics Research, 8(3), 555-575

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@article{cliquefluxnetun-2024/8,
  title={CliqueFluxNet: Unveiling EHR Insights with Stochastic Edge Fluxing and Maximal Clique Utilisation Using Graph Neural Networks},
  author={Molaei S, Bousejin NG, Ghosheh GO, Thakur A, Chauhan VK et al.},
  journal={Journal of Healthcare Informatics Research},
  volume={8},
  pages={555-575},
  publisher={Springer},
  year = "2024"
}

Position: reinforcement learning in dynamic treatment regimes needs critical reexamination

Luo Z, Pan Y, Watkinson P & Zhu T (2024), 33432-33465

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@inproceedings{positionreinfor-2024/7,
  title={Position: reinforcement learning in dynamic treatment regimes needs critical reexamination},
  author={Luo Z, Pan Y, Watkinson P & Zhu T},
  pages={33432-33465},
  year = "2024"
}

Computer-aided prognosis of tuberculous meningitis combining imaging and non-imaging data

Canas LS, Dong THK, Beasley D, Donovan J, Cleary JO et al. (2024), Scientific Reports, 14(1)

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@article{computeraidedpr-2024/7,
  title={Computer-aided prognosis of tuberculous meningitis combining imaging and non-imaging data},
  author={Canas LS, Dong THK, Beasley D, Donovan J, Cleary JO et al.},
  journal={Scientific Reports},
  volume={14},
  number={17581},
  publisher={Nature Research},
  year = "2024"
}

Predicting graft and patient outcomes following kidney transplantation using interpretable machine learning models

Sala??n A, Knight S, Wingfield L & Zhu T (2024), Scientific Reports, 14(1)

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@article{predictinggraft-2024/7,
  title={Predicting graft and patient outcomes following kidney transplantation using interpretable machine learning models},
  author={Sala??n A, Knight S, Wingfield L & Zhu T},
  journal={Scientific Reports},
  volume={14},
  number={17356},
  publisher={Nature Research},
  year = "2024"
}

Temporal dynamics unleashed: elevating variational graph attention

Molaei S, Niknam G, Ghosheh G, Chauhan VK, Zare H et al. (2024), Knowledge-Based Systems, 299

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@article{temporaldynamic-2024/6,
  title={Temporal dynamics unleashed: elevating variational graph attention},
  author={Molaei S, Niknam G, Ghosheh G, Chauhan VK, Zare H et al.},
  journal={Knowledge-Based Systems},
  volume={299},
  number={112110},
  publisher={Elsevier},
  year = "2024"
}

Clinical evaluation of AI-assisted muscle ultrasound for monitoring muscle wasting in ICU patients

Nhat PTH, Van Hao N, Yen LM, Anh NH, Khiem DP et al. (2024), Scientific Reports, 14(1)

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@article{clinicalevaluat-2024/6,
  title={Clinical evaluation of AI-assisted muscle ultrasound for monitoring muscle wasting in ICU patients},
  author={Nhat PTH, Van Hao N, Yen LM, Anh NH, Khiem DP et al.},
  journal={Scientific Reports},
  volume={14},
  number={14798},
  publisher={Nature Research},
  year = "2024"
}

Decoding 2.3 million ECGs: interpretable deep learning for advancing cardiovascular diagnosis and mortality risk stratification

Lu L, Zhu T, Ribeiro AH, Clifton L, Zhao E et al. (2024), European Heart Journal ??? Digital Health, 5(3), 247-259

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@article{decodingmillion-2024/2,
  title={Decoding 2.3 million ECGs: interpretable deep learning for advancing cardiovascular diagnosis and mortality risk stratification},
  author={Lu L, Zhu T, Ribeiro AH, Clifton L, Zhao E et al.},
  journal={European Heart Journal ??? Digital Health},
  volume={5},
  pages={247-259},
  publisher={Oxford University Press},
  year = "2024"
}

Data encoding for healthcare data democratization and information leakage prevention

Thakur A, Wang Y, Armstrong J, Zhu T, Abrol V et al. (2024), Nature Communications, 15(1)

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@article{dataencodingfor-2024/2,
  title={Data encoding for healthcare data democratization and information leakage prevention},
  author={Thakur A, Wang Y, Armstrong J, Zhu T, Abrol V et al.},
  journal={Nature Communications},
  volume={15},
  number={1582},
  publisher={Springer Nature},
  year = "2024"
}

Feasibility of wearable monitors to detect heart rate variability in children with hand, foot and mouth disease.

Nhan LNT, Hung NT, Khanh TH, Hong NTT, Ny NTH et al. (2024), BMC infectious diseases, 24(1), 205

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@article{feasibilityofwe-2024/2,
  title={Feasibility of wearable monitors to detect heart rate variability in children with hand, foot and mouth disease.},
  author={Nhan LNT, Hung NT, Khanh TH, Hong NTT, Ny NTH et al.},
  journal={BMC infectious diseases},
  volume={24},
  pages={205},
  publisher={Springer Nature},
  year = "2024"
}

A Perspective on Individualized Treatment Effects Estimation from Time-series Health Data

Ghosheh GO, G??gl M & Zhu T (2024)

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@misc{aperspectiveoni-2024/2,
  title={A Perspective on Individualized Treatment Effects Estimation from Time-series Health Data},
  author={Ghosheh GO, G??gl M & Zhu T},
  year = "2024"
}

Understanding Missingness in Time-series Electronic Health Records for Individualized Representation

Ghosheh GO, Li J & Zhu T (2024)

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@misc{understandingmi-2024/2,
  title={Understanding Missingness in Time-series Electronic Health Records for Individualized Representation},
  author={Ghosheh GO, Li J & Zhu T},
  year = "2024"
}

A scalable federated learning solution for secondary care using low-cost microcomputing: privacy-preserving development and evaluation of a COVID-19 screening test in UK hospitals

Soltan AS, Thakur A, Yang J, Chauhan A, D'Cruz LG et al. (2024), Lancet Digital Health, 6(2), E93-E104

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@article{ascalablefedera-2024/1,
  title={A scalable federated learning solution for secondary care using low-cost microcomputing: privacy-preserving development and evaluation of a COVID-19 screening test in UK hospitals},
  author={Soltan AS, Thakur A, Yang J, Chauhan A, D'Cruz LG et al.},
  journal={Lancet Digital Health},
  volume={6},
  pages={E93-E104},
  publisher={Elsevier},
  year = "2024"
}

A survey of generative adversarial networks for synthesizing structured electronic health records

Ghosheh G, Zhu T & Li J (2024), ACM Computing Surveys, 56(6)

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@article{asurveyofgenera-2024/1,
  title={A survey of generative adversarial networks for synthesizing structured electronic health records},
  author={Ghosheh G, Zhu T & Li J},
  journal={ACM Computing Surveys},
  volume={56},
  number={147},
  publisher={Association for Computing Machinery},
  year = "2024"
}

Student loss: towards the probability assumption in inaccurate supervision

Zhang S, Li J-Q, Fujita H, Li Y-W, Wang D-B et al. (2024), IEEE Transactions on Pattern Analysis and Machine Intelligence, 46(6), 4460-4475

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@article{studentlosstowa-2024/1,
  title={Student loss: towards the probability assumption in inaccurate supervision},
  author={Zhang S, Li J-Q, Fujita H, Li Y-W, Wang D-B et al.},
  journal={IEEE Transactions on Pattern Analysis and Machine Intelligence},
  volume={46},
  pages={4460-4475},
  publisher={IEEE},
  year = "2024"
}

IGNITE: Individualized GeNeration of Imputations in Time-series Electronic health records

Ghosheh GO, Li J & Zhu T (2024)

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@misc{igniteindividua-2024/1,
  title={IGNITE: Individualized GeNeration of Imputations in Time-series Electronic health records},
  author={Ghosheh GO, Li J & Zhu T},
  year = "2024"
}

Refined matrix completion for spectrum estimation of heart rate variability

Lu L, Zhu T, Tan Y, Zhou J, Yang J et al. (2024), Mathematical Biosciences and Engineering, 21(8), 6758-6782

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@article{refinedmatrixco-2024/1,
  title={Refined matrix completion for spectrum estimation of heart rate variability},
  author={Lu L, Zhu T, Tan Y, Zhou J, Yang J et al.},
  journal={Mathematical Biosciences and Engineering},
  volume={21},
  pages={6758-6782},
  publisher={American Institute of Mathematical Sciences (AIMS)},
  year = "2024"
}

Medical records condensation: a roadmap towards healthcare data democratisation

Thakur A, Wang Y, Dong M, Ma P, Petridis S et al. (2024)

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@misc{medicalrecordsc-2024/,
  title={Medical records condensation: a roadmap towards healthcare data democratisation},
  author={Thakur A, Wang Y, Dong M, Ma P, Petridis S et al.},
  year = "2024"
}

Leveraging transformers and large language models with antimicrobial prescribing data to predict sources of infection for electronic health record studies

Yuan K, Yoon CH, Gu Q, Munby H, Walker S et al. (2024)

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@misc{leveragingtrans-2024/,
  title={Leveraging transformers and large language models with antimicrobial prescribing data to predict sources of infection for electronic health record studies},
  author={Yuan K, Yoon CH, Gu Q, Munby H, Walker S et al.},
  year = "2024"
}

CliqueFluxNet: Unveiling EHR Insights with Stochastic Edge Fluxing and Maximal Clique Utilisation using Graph Neural Networks

Molaei S, Bousejin NG, Ghosheh G, Thakur A, Chauhan VK et al. (2024)

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@misc{cliquefluxnetun-2024/,
  title={CliqueFluxNet: Unveiling EHR Insights with Stochastic Edge Fluxing and Maximal Clique Utilisation using Graph Neural Networks},
  author={Molaei S, Bousejin NG, Ghosheh G, Thakur A, Chauhan VK et al.},
  year = "2024"
}

Transformers and large language models are efficient feature extractors for electronic health record studies

Yuan K, Yoon CH, Gu Q, Munby H, Walker S et al. (2024)

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@misc{transformersand-2024/,
  title={Transformers and large language models are efficient feature extractors for electronic health record studies},
  author={Yuan K, Yoon CH, Gu Q, Munby H, Walker S et al.},
  year = "2024"
}

A medical multimodal large language model for future pandemics.

Liu F, Zhu T, Wu X, Yang B, You C et al. (2023), NPJ digital medicine, 6(1), 226

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@article{amedicalmultimo-2023/12,
  title={A medical multimodal large language model for future pandemics.},
  author={Liu F, Zhu T, Wu X, Yang B, You C et al.},
  journal={NPJ digital medicine},
  volume={6},
  pages={226},
  year = "2023"
}

A medical multimodal large language model for future pandemics

Liu F, Zhu T, Wu X, Yang B, You C et al. (2023), npj Digital Medicine, 6(1)

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@article{amedicalmultimo-2023/12,
  title={A medical multimodal large language model for future pandemics},
  author={Liu F, Zhu T, Wu X, Yang B, You C et al.},
  journal={npj Digital Medicine},
  volume={6},
  number={226},
  publisher={Springer Nature},
  year = "2023"
}

Intelligent electrocardiogram acquisition via ubiquitous photoplethysmography monitoring

Liu Z, Zhu T, Lu L, Zhang Y-T & Clifton DA (2023), IEEE Journal of Biomedical and Health Informatics, 28(3), 1321-1330

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@article{intelligentelec-2023/12,
  title={Intelligent electrocardiogram acquisition via ubiquitous photoplethysmography monitoring},
  author={Liu Z, Zhu T, Lu L, Zhang Y-T & Clifton DA},
  journal={IEEE Journal of Biomedical and Health Informatics},
  volume={28},
  pages={1321-1330},
  publisher={IEEE},
  year = "2023"
}

The 2023 wearable photoplethysmography roadmap.

Charlton PH, Allen J, Bailón R, Baker S, Behar JA et al. (2023), Physiological measurement, 44(11)

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@article{thewearablephot-2023/11,
  title={The 2023 wearable photoplethysmography roadmap.},
  author={Charlton PH, Allen J, Bailón R, Baker S, Behar JA et al.},
  journal={Physiological measurement},
  volume={44},
  year = "2023"
}

External validation of AI models in health should be replaced with recurring local validation.

Youssef A, Pencina M, Thakur A, Zhu T, Clifton D et al. (2023), Nature medicine, 29(11), 2686-2687

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@article{externalvalidat-2023/11,
  title={External validation of AI models in health should be replaced with recurring local validation.},
  author={Youssef A, Pencina M, Thakur A, Zhu T, Clifton D et al.},
  journal={Nature medicine},
  volume={29},
  pages={2686-2687},
  year = "2023"
}

Heart rate variability measured from wearable devices as a marker of disease severity in tetanus

Hai HB, Cattrall JWS, Hao NV, Van HMT, Thuy DB et al. (2023), American Journal of Tropical Medicine and Hygiene, 110(1), 165-169

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@article{heartratevariab-2023/11,
  title={Heart rate variability measured from wearable devices as a marker of disease severity in tetanus},
  author={Hai HB, Cattrall JWS, Hao NV, Van HMT, Thuy DB et al.},
  journal={American Journal of Tropical Medicine and Hygiene},
  volume={110},
  pages={165-169},
  publisher={American Society of Tropical Medicine and Hygiene},
  year = "2023"
}

External validation of AI models in health should be replaced with recurring local validation

Youssef A, Pencina M, Thakur A, Zhu T, Clifton D et al. (2023), Nature Medicine, 29(11), 2686-2687

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@article{externalvalidat-2023/10,
  title={External validation of AI models in health should be replaced with recurring local validation},
  author={Youssef A, Pencina M, Thakur A, Zhu T, Clifton D et al.},
  journal={Nature Medicine},
  volume={29},
  pages={2686-2687},
  publisher={Springer Nature},
  year = "2023"
}

Impact of stress hyperglycemia ratio on mortality in patients with critical acute myocardial infarction: insight from American MIMIC-IV and the Chinese CIN-II study

Liu J, Zhou Y, Huang H, Liu R, Kang Y et al. (2023), Cardiovascular Diabetology, 22(1)

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@article{impactofstressh-2023/10,
  title={Impact of stress hyperglycemia ratio on mortality in patients with critical acute myocardial infarction: insight from American MIMIC-IV and the Chinese CIN-II study},
  author={Liu J, Zhou Y, Huang H, Liu R, Kang Y et al.},
  journal={Cardiovascular Diabetology},
  volume={22},
  number={281},
  publisher={BioMed Central},
  year = "2023"
}

DySurv: dynamic deep learning model for survival analysis with conditional variational inference

Mesinovic M, Watkinson P & Zhu T (2023)

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@misc{dysurvdynamicde-2023/10,
  title={DySurv: dynamic deep learning model for survival analysis with conditional variational inference},
  author={Mesinovic M, Watkinson P & Zhu T},
  year = "2023"
}

DyVGRNN: DYnamic mixture Variational Graph Recurrent Neural Networks.

Niknam G, Molaei S, Zare H, Pan S, Jalili M et al. (2023), Neural networks : the official journal of the International Neural Network Society, 165, 596-610

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@article{dyvgrnndynamicm-2023/8,
  title={DyVGRNN: DYnamic mixture Variational Graph Recurrent Neural Networks.},
  author={Niknam G, Molaei S, Zare H, Pan S, Jalili M et al.},
  journal={Neural networks : the official journal of the International Neural Network Society},
  volume={165},
  pages={596-610},
  year = "2023"
}

Heterogeneity in the diagnosis and prognosis of ischemic stroke subtypes: 9-year follow-up of 22,000 cases in Chinese adults.

Chun M, Qin H, Turnbull I, Sansome S, Gilbert S et al. (2023), International journal of stroke : official journal of the International Stroke Society, 18(7), 847-855

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@article{heterogeneityin-2023/8,
  title={Heterogeneity in the diagnosis and prognosis of ischemic stroke subtypes: 9-year follow-up of 22,000 cases in Chinese adults.},
  author={Chun M, Qin H, Turnbull I, Sansome S, Gilbert S et al.},
  journal={International journal of stroke : official journal of the International Stroke Society},
  volume={18},
  pages={847-855},
  year = "2023"
}

Explainable AI for clinical risk prediction: a survey of concepts, methods, and modalities

Mesinovic M, Watkinson P & Zhu T (2023)

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@misc{explainableaifo-2023/8,
  title={Explainable AI for clinical risk prediction: a survey of concepts, methods, and modalities},
  author={Mesinovic M, Watkinson P & Zhu T},
  year = "2023"
}

Improving diagnostics with deep forest applied to electronic health records

Khodadadi A, Ghanbari Bousejin N, Molaei S, Kumar Chauhan V, Zhu T et al. (2023), Sensors, 23(14)

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@article{improvingdiagno-2023/7,
  title={Improving diagnostics with deep forest applied to electronic health records},
  author={Khodadadi A, Ghanbari Bousejin N, Molaei S, Kumar Chauhan V, Zhu T et al.},
  journal={Sensors},
  volume={23},
  number={6571},
  publisher={MDPI},
  year = "2023"
}

Improving Diagnostics with Deep Forest Applied to Electronic Health Records.

Khodadadi A, Ghanbari Bousejin N, Molaei S, Kumar Chauhan V, Zhu T et al. (2023), Sensors (Basel, Switzerland), 23(14), 6571

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@article{improvingdiagno-2023/7,
  title={Improving Diagnostics with Deep Forest Applied to Electronic Health Records.},
  author={Khodadadi A, Ghanbari Bousejin N, Molaei S, Kumar Chauhan V, Zhu T et al.},
  journal={Sensors (Basel, Switzerland)},
  volume={23},
  pages={6571},
  year = "2023"
}

The 2023 wearable photoplethysmography roadmap

Charlton PH, Allen J, Bailon R, Baker S, Behar JA et al. (2023), Physiological Measurement, 44

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@article{thewearablephot-2023/7,
  title={The 2023 wearable photoplethysmography roadmap},
  author={Charlton PH, Allen J, Bailon R, Baker S, Behar JA et al.},
  journal={Physiological Measurement},
  volume={44},
  number={111001},
  publisher={IOP Publishing},
  year = "2023"
}

Clinical benefit of AI-assisted lung ultrasound in a resource-limited intensive care unit

Nhat PTH, Van Hao N, Tho PV, Kerdegari H, Pisani L et al. (2023), Critical Care, 27(1)

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@article{clinicalbenefit-2023/7,
  title={Clinical benefit of AI-assisted lung ultrasound in a resource-limited intensive care unit},
  author={Nhat PTH, Van Hao N, Tho PV, Kerdegari H, Pisani L et al.},
  journal={Critical Care},
  volume={27},
  number={257},
  publisher={BioMed Central},
  year = "2023"
}

DyVGRNN: DYnamic mixture variational graph recurrent neural networks

Niknam G, Molaei S, Zare H, Pan S, Jalili M et al. (2023), Neural Networks, 165, 596-610

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@article{dyvgrnndynamicm-2023/6,
  title={DyVGRNN: DYnamic mixture variational graph recurrent neural networks},
  author={Niknam G, Molaei S, Zare H, Pan S, Jalili M et al.},
  journal={Neural Networks},
  volume={165},
  pages={596-610},
  publisher={Elsevier},
  year = "2023"
}

Synthesizing electronic health records for predictive models in low-middle-income countries (LMICs)

Ghosheh GO, Thwaites CL & Zhu T (2023), Biomedicines, 11(6)

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@article{synthesizingele-2023/6,
  title={Synthesizing electronic health records for predictive models in low-middle-income countries (LMICs)},
  author={Ghosheh GO, Thwaites CL & Zhu T},
  journal={Biomedicines},
  volume={11},
  number={1749},
  publisher={MDPI},
  year = "2023"
}

DyVGRNN: DYnamic mixture Variational Graph Recurrent Neural Networks

Niknam G, MOLAEI S, Zare H, Pan S, Jalili M et al. (2023), Neural Networks

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@article{dyvgrnndynamicm-2023/6,
  title={DyVGRNN: DYnamic mixture Variational Graph Recurrent Neural Networks},
  author={Niknam G, MOLAEI S, Zare H, Pan S, Jalili M et al.},
  journal={Neural Networks},
  publisher={Elsevier},
  year = "2023"
}

A framework for motor function characterization in autism spectrum disorder

Paulo JR, Sousa T, Perdiz J, Leal N, Menezes P et al. (2023), Proceedings of the 7th IEEE Portuguese Meeting on Bioengineering (ENBENG 2023), 104-107

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@inproceedings{aframeworkformo-2023/6,
  title={A framework for motor function characterization in autism spectrum disorder},
  author={Paulo JR, Sousa T, Perdiz J, Leal N, Menezes P et al.},
  booktitle={7th IEEE Portuguese Meeting on Bioengineering (ENBENG 2023)},
  pages={104-107},
  year = "2023"
}

Synthesizing Electronic Health Records for Predictive Models in Low-Middle-Income Countries (LMICs).

Ghosheh GO, Thwaites CL & Zhu T (2023), Biomedicines, 11(6), 1749

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@article{synthesizingele-2023/6,
  title={Synthesizing Electronic Health Records for Predictive Models in Low-Middle-Income Countries (LMICs).},
  author={Ghosheh GO, Thwaites CL & Zhu T},
  journal={Biomedicines},
  volume={11},
  pages={1749},
  year = "2023"
}

Generating synthetic mixed-type longitudinal electronic health records for artificial intelligent applications

Li J, Cairns BJ, Li J & Zhu T (2023), NPJ Digital Medicine, 6(1)

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@article{generatingsynth-2023/5,
  title={Generating synthetic mixed-type longitudinal electronic health records for artificial intelligent applications},
  author={Li J, Cairns BJ, Li J & Zhu T},
  journal={NPJ Digital Medicine},
  volume={6},
  number={98},
  publisher={Springer Nature},
  year = "2023"
}

Uncertainties in the analysis of heart rate variability: a systematic review

Lu L, Zhu T, Morelli D, Creagh A, Liu Z et al. (2023), IEEE Reviews in Biomedical Engineering, 17, 180-196

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@article{uncertaintiesin-2023/5,
  title={Uncertainties in the analysis of heart rate variability: a systematic review},
  author={Lu L, Zhu T, Morelli D, Creagh A, Liu Z et al.},
  journal={IEEE Reviews in Biomedical Engineering},
  volume={17},
  pages={180-196},
  publisher={IEEE},
  year = "2023"
}

Clinical decision support systems used in transplantation: are they tools for success or an unnecessary gadget? A systematic review

Wingfield L, Salaun A, Khan A, Webb H, Zhu T et al. (2023), Transplantation, 108(1), 72-99

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@article{clinicaldecisio-2023/5,
  title={Clinical decision support systems used in transplantation: are they tools for success or an unnecessary gadget?  A systematic review},
  author={Wingfield L, Salaun A, Khan A, Webb H, Zhu T et al.},
  journal={Transplantation},
  volume={108},
  pages={72-99},
  publisher={Lippincott, Williams & Wilkins},
  year = "2023"
}

Generating synthetic mixed-type longitudinal electronic health records for artificial intelligent applications.

Li J, Cairns BJ, Li J & Zhu T (2023), NPJ digital medicine, 6(1), 98

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@article{generatingsynth-2023/5,
  title={Generating synthetic mixed-type longitudinal electronic health records for artificial intelligent applications.},
  author={Li J, Cairns BJ, Li J & Zhu T},
  journal={NPJ digital medicine},
  volume={6},
  pages={98},
  year = "2023"
}

Uncertainties in the Analysis of Heart Rate Variability: A Systematic Review.

Lu L, Zhu T, Morelli D, Creagh A, Liu Z et al. (2023), IEEE reviews in biomedical engineering, PP

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BibTeX View PDF
@article{uncertaintiesin-2023/5,
  title={Uncertainties in the Analysis of Heart Rate Variability: A Systematic Review.},
  author={Lu L, Zhu T, Morelli D, Creagh A, Liu Z et al.},
  journal={IEEE reviews in biomedical engineering},
  volume={PP},
  year = "2023"
}