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Showing 50 publications by Tingting Zhu

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-2024/6,
  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},
  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

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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},
  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"
}

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"
}

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"
}

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"
}

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"
}

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"
}

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

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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},
  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), 00, 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={2023 IEEE 7th Portuguese Meeting on Bioengineering (ENBENG)},
  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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@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"
}

Data Encoding For Healthcare Data Democratisation and Information Leakage Prevention

Thakur A, Zhu T, Abrol V, Armstrong J, Wang Y et al. (2023)

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@misc{dataencodingfor-2023/5,
  title={Data Encoding For Healthcare Data Democratisation and Information Leakage Prevention},
  author={Thakur A, Zhu T, Abrol V, Armstrong J, Wang Y et al.},
  year = "2023"
}

Medical records condensation: a roadmap towards healthcare data democratisation

Wang Y, Thakur A, Dong M, Ma P, Petridis S et al. (2023)

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@misc{medicalrecordsc-2023/5,
  title={Medical records condensation: a roadmap towards healthcare data democratisation},
  author={Wang Y, Thakur A, Dong M, Ma P, Petridis S et al.},
  year = "2023"
}

All models are local: time to replace external validation with recurrent local validation

Youssef A, Pencina M, Thakur A, Zhu T, Clifton D et al. (2023)

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@misc{allmodelsareloc-2023/5,
  title={All models are local: time to replace external validation with recurrent local validation},
  author={Youssef A, Pencina M, Thakur A, Zhu T, Clifton D et al.},
  year = "2023"
}

Adversarial de-confounding in individualised treatment effects estimation

Kumar V, Molaei S, Hoque Tania M, Thakur A, Zhu T et al. (2023), Proceedings of The 26th International Conference on Artificial Intelligence and Statistics, 206, 837-849

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@inproceedings{adversarialdeco-2023/4,
  title={Adversarial de-confounding in individualised treatment effects estimation},
  author={Kumar V, Molaei S, Hoque Tania M, Thakur A, Zhu T et al.},
  booktitle={26th International Conference on Artificial Intelligence and Statistics (AISTATS 2023)},
  pages={837-849},
  year = "2023"
}

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

Ding X, Whelan M, Clifton D & Zhu T (2023), Digital Health, 9

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@article{physicalactivit-2023/2,
  title={Physical activity and asthma symptom control in children during COVID-19 lockdown: A feasibility study},
  author={Ding X, Whelan M, Clifton D & Zhu T},
  journal={Digital Health},
  volume={9},
  publisher={SAGE Publications},
  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, 18(7), 847-855

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@article{heterogeneityin-2023/2,
  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},
  volume={18},
  pages={847-855},
  publisher={SAGE Publications},
  year = "2023"
}

Synthesizing Mixed-type Electronic Health Records using Diffusion Models

Ceritli T, Ghosheh GO, Chauhan VK, Zhu T, Creagh AP et al. (2023)

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@misc{synthesizingmix-2023/2,
  title={Synthesizing Mixed-type Electronic Health Records using Diffusion Models},
  author={Ceritli T, Ghosheh GO, Chauhan VK, Zhu T, Creagh AP et al.},
  year = "2023"
}

BLOod Test Trend for cancEr Detection (BLOTTED): protocol for an observational and prediction model development study using English primary care electronic health record data

Virdee PS, Bankhead C, Koshiaris C, Wright Drakesmith C, Oke J et al. (2023), Diagnostic and Prognostic Research, 7(1)

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@article{bloodtesttrendf-2023/1,
  title={BLOod Test Trend for cancEr Detection (BLOTTED): protocol for an observational and prediction model development study using English primary care electronic health record data},
  author={Virdee PS, Bankhead C, Koshiaris C, Wright Drakesmith C, Oke J et al.},
  journal={Diagnostic and Prognostic Research},
  volume={7},
  number={1},
  publisher={BioMed Central},
  year = "2023"
}

Adversarial De-confounding in Individualised Treatment Effects Estimation

Chauhan VK, Molaei S, Tania MH, Thakur A, Zhu T et al. (2023), Proceedings of Machine Learning Research, 206, 837-849

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@inproceedings{adversarialdeco-2023/1,
  title={Adversarial De-confounding in Individualised Treatment Effects Estimation},
  author={Chauhan VK, Molaei S, Tania MH, Thakur A, Zhu T et al.},
  pages={837-849},
  year = "2023"
}

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

Ding X, Whelan ME, Clifton DA & Zhu T (2023), Digital health, 9, 20552076231152165

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@article{physicalactivit-2023/1,
  title={Physical activity and asthma symptom control in children during COVID-19 lockdown: A feasibility study.},
  author={Ding X, Whelan ME, Clifton DA & Zhu T},
  journal={Digital health},
  volume={9},
  pages={20552076231152165},
  year = "2023"
}

BLOod Test Trend for cancEr Detection (BLOTTED): protocol for an observational and prediction model development study using English primary care electronic health record data

Virdee PS, Bankhead C, Koshiaris C, Wright Drakesmith C, Oke J et al. (2023), Diagnostic and Prognostic Research, 7(1)

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@article{bloodtesttrendf-2023/1,
  title={BLOod Test Trend for cancEr Detection (BLOTTED): protocol for an observational and prediction model development study using English primary care electronic health record data},
  author={Virdee PS, Bankhead C, Koshiaris C, Wright Drakesmith C, Oke J et al.},
  journal={Diagnostic and Prognostic Research},
  volume={7},
  number={1},
  publisher={BioMed Central},
  year = "2023"
}

Scalable federated learning for emergency care using low cost microcomputing: Real-world, privacy preserving development and evaluation of a COVID-19 screening test in UK hospitals

Soltan A, Thakur A, Yang J, Chauhan A, D’Cruz L et al. (2023)

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@misc{scalablefederat-2023/,
  title={Scalable federated learning for emergency care using low cost microcomputing: Real-world, privacy preserving development and evaluation of a COVID-19 screening test in UK hospitals},
  author={Soltan A, Thakur A, Yang J, Chauhan A, D’Cruz L et al.},
  year = "2023"
}

Data Encoding For Healthcare Data Democratisation and Information Leakage Prevention

Zhu T, Armstrong J, Abrol V, Wang Y, Clifton D et al. (2023)

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@misc{dataencodingfor-2023/,
  title={Data Encoding For Healthcare Data Democratisation and Information Leakage Prevention},
  author={Zhu T, Armstrong J, Abrol V, Wang Y, Clifton D et al.},
  year = "2023"
}

A Large Language Modelling Deep Learning Framework for the Next Pandemic

Zhu T, Wu X, Yang B, You C, Wang C et al. (2023)

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@misc{alargelanguagem-2023/,
  title={A Large Language Modelling Deep Learning Framework for the Next Pandemic},
  author={Zhu T, Wu X, Yang B, You C, Wang C et al.},
  year = "2023"
}

A Multimodal Large Language Modelling Deep Learning Framework for the Future Pandemic

Liu F, Zhu T, Wu X, Yang B, You C et al. (2023)

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@misc{amultimodallarg-2023/,
  title={A Multimodal Large Language Modelling Deep Learning Framework for the Future Pandemic},
  author={Liu F, Zhu T, Wu X, Yang B, You C et al.},
  year = "2023"
}

Data Encoding For Healthcare Data Democratisation and Information Leakage Prevention

Zhu T, Armstrong J, Abrol V, Wang Y, Clifton D et al. (2023)

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@misc{dataencodingfor-2023/,
  title={Data Encoding For Healthcare Data Democratisation and Information Leakage Prevention},
  author={Zhu T, Armstrong J, Abrol V, Wang Y, Clifton D et al.},
  year = "2023"
}

A Large Language Modelling Deep Learning Framework for the Next Pandemic

Zhu T, Wu X, Yang B, You C, Wang C et al. (2023)

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@misc{alargelanguagem-2023/,
  title={A Large Language Modelling Deep Learning Framework for the Next Pandemic},
  author={Zhu T, Wu X, Yang B, You C, Wang C et al.},
  year = "2023"
}

Scalable federated learning for emergency care using low cost microcomputing: Real-world, privacy preserving development and evaluation of a COVID-19 screening test in UK hospitals

Soltan A, Thakur A, Yang J, Chauhan A, D’Cruz L et al. (2023)

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@misc{scalablefederat-2023/,
  title={Scalable federated learning for emergency care using low cost microcomputing: Real-world, privacy preserving development and evaluation of a COVID-19 screening test in UK hospitals},
  author={Soltan A, Thakur A, Yang J, Chauhan A, D’Cruz L et al.},
  year = "2023"
}

A Multimodal Large Language Modelling Deep Learning Framework for the Future Pandemic

Liu F, Zhu T, Wu X, Yang B, You C et al. (2023)

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@misc{amultimodallarg-2023/,
  title={A Multimodal Large Language Modelling Deep Learning Framework for the Future Pandemic},
  author={Liu F, Zhu T, Wu X, Yang B, You C et al.},
  year = "2023"
}