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

AI in Older Adult Care (54) Clinical Informatics (1460) Clinical Information and Decision Making (2110) Machine Learning (2262) Stroke (268)

Published on in Vol 9 (2026)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/77017, first published .
Machine Learning–Derived Cardiovascular Aging Phenotypes From Cardiac Function and Stroke Risk in the UK Biobank: Cohort Study

Machine Learning–Derived Cardiovascular Aging Phenotypes From Cardiac Function and Stroke Risk in the UK Biobank: Cohort Study

Machine Learning–Derived Cardiovascular Aging Phenotypes From Cardiac Function and Stroke Risk in the UK Biobank: Cohort Study

Authors of this article:

Kang Yuan1 Author Orcid Image ;   Deyan Kong2 Author Orcid Image ;   Jinghui Zhong3 Author Orcid Image ;   Mengdi Xie1 Author Orcid Image ;   Rui Liu1 Author Orcid Image ;   Wen Sun3 Author Orcid Image ;   Xinfeng Liu1 Author Orcid Image
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