Yikuan Li

Yikuan Li

University of Oxford

H-index: 8

Europe-United Kingdom

About Yikuan Li

Yikuan Li, With an exceptional h-index of 8 and a recent h-index of 8 (since 2020), a distinguished researcher at University of Oxford, specializes in the field of machine learning, healthcare, Bayesian deep learning.

His recent articles reflect a diverse array of research interests and contributions to the field:

Sodium-based paracetamol: impact on blood pressure, cardiovascular events, and all-cause mortality

A comparative study of model-centric and data-centric approaches in the development of cardiovascular disease risk prediction models in the UK Biobank

Systolic blood pressure, chronic obstructive pulmonary disease and cardiovascular risk

Stratification of diabetes in the context of comorbidities, using representation learning and topological data analysis

Systolic blood pressure and cardiovascular risk in patients with diabetes: a prospective cohort study

How much lowering of blood pressure is required to prevent cardiovascular disease in patients with and without previous cardiovascular disease?

Targeted-BEHRT: deep learning for observational causal inference on longitudinal electronic health records

Clinical outcome prediction under hypothetical interventions--a representation learning framework for counterfactual reasoning

Yikuan Li Information

University

Position

___

Citations(all)

598

Citations(since 2020)

598

Cited By

47

hIndex(all)

8

hIndex(since 2020)

8

i10Index(all)

8

i10Index(since 2020)

8

Email

University Profile Page

Google Scholar

Yikuan Li Skills & Research Interests

machine learning

healthcare

Bayesian deep learning

Top articles of Yikuan Li

Sodium-based paracetamol: impact on blood pressure, cardiovascular events, and all-cause mortality

European Heart Journal

2023/11/7

A comparative study of model-centric and data-centric approaches in the development of cardiovascular disease risk prediction models in the UK Biobank

European Heart Journal-Digital Health

2023/5/15

Systolic blood pressure, chronic obstructive pulmonary disease and cardiovascular risk

Heart

2023/8/1

Stratification of diabetes in the context of comorbidities, using representation learning and topological data analysis

Scientific Reports

2023/7/16

Systolic blood pressure and cardiovascular risk in patients with diabetes: a prospective cohort study

Hypertension

2023/3

How much lowering of blood pressure is required to prevent cardiovascular disease in patients with and without previous cardiovascular disease?

2022/7

Targeted-BEHRT: deep learning for observational causal inference on longitudinal electronic health records

IEEE Transactions on Neural Networks and Learning Systems

2022/6/23

Clinical outcome prediction under hypothetical interventions--a representation learning framework for counterfactual reasoning

arXiv preprint arXiv:2205.07234

2022/5/15

An explainable Transformer-based deep learning model for the prediction of incident heart failure

ieee journal of biomedical and health informatics

2022/2/7

Behrtday: Dynamic mortality risk prediction using time-variant COVID-19 patient specific trajectories

AMIA Summits on Translational Science Proceedings

2022

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

European Heart Journal-Digital Health

2022/12/22

Hi-BEHRT: hierarchical transformer-based model for accurate prediction of clinical events using multimodal longitudinal electronic health records

IEEE journal of biomedical and health informatics

2022/11/25

Association between cardiometabolic disease multimorbidity and all-cause mortality in 2 million women and men registered in UK general practices

BMC medicine

2021/12

Deep Bayesian Gaussian processes for uncertainty estimation in electronic health records

Scientific reports

2021/10/19

Transfer learning in electronic health records through clinical concept embedding

arXiv preprint arXiv:2107.12919

2021/7/27

Learning multimorbidity patterns from electronic health records using non-negative matrix factorisation

Journal of Biomedical Informatics

2020/12/1

BEHRT: transformer for electronic health records

Scientific reports

2020/4/28

See List of Professors in Yikuan Li University(University of Oxford)