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
BibTeX
@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
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
BibTeX
@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
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
BibTeX
@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
BibTeX
@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)
BibTeX
@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)
BibTeX
@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
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)
BibTeX
@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
BibTeX
@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)
BibTeX
@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
BibTeX
@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)
Understanding Missingness in Time-series Electronic Health Records for Individualized Representation
Ghosheh GO, Li J & Zhu T (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
BibTeX
@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)
BibTeX
@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
BibTeX
@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)
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
BibTeX
@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)
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)
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)
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)
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
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)
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
BibTeX
@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)
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
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
BibTeX
@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
BibTeX
@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)
BibTeX
@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)
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
BibTeX
@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
BibTeX
@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)
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)
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
The 2023 wearable photoplethysmography roadmap
Charlton PH, Allen J, Bailon R, Baker S, Behar JA et al. (2023), Physiological Measurement, 44
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)
BibTeX
@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
Synthesizing electronic health records for predictive models in low-middle-income countries (LMICs)
Ghosheh GO, Thwaites CL & Zhu T (2023), Biomedicines, 11(6)
DyVGRNN: DYnamic mixture Variational Graph Recurrent Neural Networks
Niknam G, MOLAEI S, Zare H, Pan S, Jalili M et al. (2023), Neural Networks
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
BibTeX
@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
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)
BibTeX
@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
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
BibTeX
@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
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