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Doctor Shishir Rao

University of Oxford, Oxford (United Kingdom of Great Britain & Northern Ireland)

Member of:

European Society of Cardiology

Presentations Articles

Transformers for all-cause mortality prognostication in patients with heart failure: validation of risk modelling and risk factor discoveries across international electronic health record datasets

Event: ESC Congress 2025

Topic: Deep Learning

Session: Personalised medicine: risk stratification through digital health tools

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A flexible, calibrated transformer-based risk model for prediction of clinical outcomes in patients with heart failure; an open cohort study using linked UK EHR

Event: ESC Congress 2024

Topic: Epidemiology, Prognosis, Outcome

Session: Models to predict unfavourable outcomes in heart failure

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Refined selection of individuals for preventive cardiovascular disease treatment with a transformer-based risk model

Event: ESC Congress 2024

Topic: Scores

Session: Risk score for risk prediction in cardiovascular disease

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BEHRT-HF: an interpretable transformer-based, deep learning model for prediction of incident heart failure

Event: ESC Congress 2020

Topic: Big Data Analysis

Session: Research Methods: What’s New and What Works?

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