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Article

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

JMIR aging - 27 Apr 2026

Yuan Kang, Kong Deyan, Zhong Jinghui, Xie Mengdi, Liu Rui, Sun Wen, Liu Xinfeng

Abstract excerpt

Background: Cardiovascular magnetic resonance (CMR) is widely used across various cardiac conditions and systematically assesses cardiac anatomical structures and functional dynamics. Machine learning (ML) can accurately predict outcomes and understand the inherent features of clinical data. Objective: This study aimed to derive CMR phenotypes related to cardiovascular aging, investigate the relationship between...

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Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

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Identifiers

PMID: 42044490
DOI: 10.2196/77017
PMCID: PMC13120752

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