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Yikuan Li
Yikuan Li
在 wrh.ox.ac.uk 的电子邮件经过验证
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BEHRT: transformer for electronic health records
Y Li, S Rao, JRA Solares, A Hassaine, R Ramakrishnan, D Canoy, Y Zhu, ...
Scientific reports 10 (1), 7155, 2020
3452020
An explainable Transformer-based deep learning model for the prediction of incident heart failure
S Rao, Y Li, R Ramakrishnan, A Hassaine, D Canoy, JG Cleland, ...
IEEE Journal of Biomedical and Health Informatics, 2022
43*2022
Hi-BEHRT: Hierarchical Transformer-based model for accurate prediction of clinical events using multimodal longitudinal electronic health records
Y Li, M Mamouei, G Salimi-Khorshidi, S Rao, A Hassaine, D Canoy, ...
IEEE journal of biomedical and health informatics 27 (2), 1106-1117, 2022
322022
Deep Bayesian Gaussian processes for uncertainty estimation in electronic health records
Y Li, S Rao, A Hassaine, R Ramakrishnan, D Canoy, G Salimi-Khorshidi, ...
Scientific reports 11 (1), 20685, 2021
252021
Learning multimorbidity patterns from electronic health records using non-negative matrix factorisation
A Hassaine, D Canoy, JRA Solares, Y Zhu, S Rao, Y Li, M Zottoli, ...
Journal of Biomedical Informatics 112, 103606, 2020
242020
Association between cardiometabolic disease multimorbidity and all-cause mortality in 2 million women and men registered in UK general practices
D Canoy, J Tran, M Zottoli, R Ramakrishnan, A Hassaine, S Rao, Y Li, ...
BMC medicine 19, 1-10, 2021
192021
How much lowering of blood pressure is required to prevent Cardiovascular Disease in patients with and without previous Cardiovascular Disease?
D Canoy, M Nazarzadeh, E Copland, Z Bidel, S Rao, Y Li, K Rahimi
Current cardiology reports 24 (7), 851-860, 2022
152022
Targeted-BEHRT: deep learning for observational causal inference on longitudinal electronic health records
S Rao, M Mamouei, G Salimi-Khorshidi, Y Li, R Ramakrishnan, ...
IEEE Transactions on Neural Networks and Learning Systems, 2022
152022
Validation of risk prediction models applied to longitudinal electronic health record data for the prediction of major cardiovascular events in the presence of data shifts
Y Li, G Salimi-Khorshidi, S Rao, D Canoy, A Hassaine, T Lukasiewicz, ...
European Heart Journal-Digital Health 3 (4), 535-547, 2022
72022
Transfer learning in electronic health records through clinical concept embedding
JRA Solares, Y Zhu, A Hassaine, S Rao, Y Li, M Mamouei, D Canoy, ...
arXiv preprint arXiv:2107.12919, 2021
62021
Systolic blood pressure and cardiovascular risk in patients with diabetes: a prospective cohort study
S Rao, Y Li, M Nazarzadeh, D Canoy, M Mamouei, A Hassaine, ...
Hypertension 80 (3), 598-607, 2023
32023
Behrtday: Dynamic mortality risk prediction using time-variant covid-19 patient specific trajectories
A Azhir, S Talebi, LH Merino, Y Li, T Lukasiewicz, E Argulian, J Narula, ...
AMIA Annual Symposium Proceedings 2022, 120, 2022
32022
Sodium-based paracetamol: impact on blood pressure, cardiovascular events, and all-cause mortality
S Rao, M Nazarzadeh, D Canoy, Y Li, J Huang, M Mamouei, ...
European Heart Journal 44 (42), 4448-4457, 2023
22023
Stratification of diabetes in the context of comorbidities, using representation learning and topological data analysis
M Wamil, A Hassaine, S Rao, Y Li, M Mamouei, D Canoy, M Nazarzadeh, ...
Scientific Reports 13 (1), 11478, 2023
12023
Systolic blood pressure, chronic obstructive pulmonary disease and cardiovascular risk
S Rao, M Nazarzadeh, Y Li, D Canoy, M Mamouei, G Salimi-Khorshidi, ...
Heart, 2023
12023
Clinical outcome prediction under hypothetical interventions--a representation learning framework for counterfactual reasoning
Y Li, M Mamouei, S Rao, A Hassaine, D Canoy, T Lukasiewicz, K Rahimi, ...
arXiv preprint arXiv:2205.07234, 2022
12022
A comparative study of model-centric and data-centric approaches in the development of cardiovascular disease risk prediction models in the UK Biobank
M Mamouei, T Fisher, S Rao, Y Li, G Salimi-Khorshidi, K Rahimi
European Heart Journal-Digital Health, ztad033, 2023
2023
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