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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
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
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?
