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This paper is in the following e-collection/theme issue:

Tools, Programs and Algorithms (597) Clinical Informatics (2353) Clinical Information and Decision Making (3827) Electronic Health Records (1764) Advanced Data Analytics in eHealth (368) Machine Learning (3289) Cardiac Risk and Cardiac Risk Calculators (183) Cardiovascular Disease Prevention (276) Precision Medicine (448)

Published on in Vol 13 (2025)

This is a member publication of King's College London (Jisc)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/76659, first published .
Elderly woman clutching chest in pain, possibly experiencing a heart attack

Estimating 10-Year Cardiovascular Disease Risk in Primary Prevention Using UK Electronic Health Records and a Hybrid Multitask BERT Model: Retrospective Cohort Study

Estimating 10-Year Cardiovascular Disease Risk in Primary Prevention Using UK Electronic Health Records and a Hybrid Multitask BERT Model: Retrospective Cohort Study

Authors of this article:

Tianyi Liu1 Author Orcid Image ;   Lei Lu1 Author Orcid Image ;   Yanzhong Wang1 Author Orcid Image ;   Andrew J Krentz1, 2 Author Orcid Image ;   Vasa Curcin1 Author Orcid Image
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Journals

  1. Aniokete U, Obasi D, Uzor S, Akwari A, Okoroh P, Emeruwa A, Amadi E, Eji M, Alum E. Artificial intelligence for precision obesity phenotyping and cardiometabolic risk stratification: A critical narrative review. Human Nutrition & Metabolism 2026;46:200386 View