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Publications

Targeted-BEHRT: Deep Learning for Observational Causal Inference on Longitudinal Electronic Health Records.

Rao S. et al, (2024), IEEE Trans Neural Netw Learn Syst, 35, 5027 - 5038

Antihypertensive Treatment Evaluation in Multimorbidity and Polypharmacy Trial (ATEMPT): A decentralised open-label pilot trial

Majert J. et al, (2023), The Lancet. Healthy Longevity

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

Rao S. et al, (2023), Eur Heart J

Deep learning for causal inference on electronic health records

Rao S., (2023)

Long-Term Exposure to Road Traffic Noise and Incident Heart Failure: Evidence From UK Biobank.

Yang T. et al, (2023), JACC Heart Fail

Systolic blood pressure, chronic obstructive pulmonary disease and cardiovascular risk.

Rao S. et al, (2023), Heart

Systolic Blood Pressure and Cardiovascular Risk in Patients With Diabetes: A Prospective Cohort Study.

Rao S. et al, (2022), Hypertension

An Explainable Transformer-Based Deep Learning Model for the Prediction of Incident Heart Failure.

Rao S. et al, (2022), IEEE J Biomed Health Inform, 26, 3362 - 3372

How Much Lowering of Blood Pressure Is Required to Prevent Cardiovascular Disease in Patients With and Without Previous Cardiovascular Disease?

Canoy D. et al, (2022), Current Cardiology Reports, 24, 851 - 860

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

Li Y. et al, (2022), IEEE Journal of Biomedical and Health Informatics

Deep Bayesian Gaussian processes for uncertainty estimation in electronic health records.

Li Y. et al, (2021), Sci Rep, 11

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

CANOY D. et al, (2021), BMC Medicine

Perinatal health predictors using Artificial Intelligence

RAMAKRISHNAN R. et al, (2021), Women's Health

Learning multimorbidity patterns from electronic health records using Non-negative Matrix Factorisation

Hassaine A. et al, (2020), Journal of Biomedical Informatics, 112, 103606 - 103606

BEHRT: Transformer for Electronic Health Records

Li Y. et al, (2020), Scientific Reports, 10

Include forthcoming?