Accessibility settings

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
Article Authors Cited by Tweetations Metrics
All Time | Last Month | Last Six Months | Last Year
There are currently no tweets available for this article within the specified range.