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

Aging with Chronic Disease (182) Dementia and Cognitive Decline (706) Machine Learning (2102) Cardiac Disease Management (161)

Published on in Vol 8 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/64148, first published .
Estimation of Machine Learning–Based Models to Predict Dementia Risk in Patients With Atherosclerotic Cardiovascular Diseases: UK Biobank Study

Estimation of Machine Learning–Based Models to Predict Dementia Risk in Patients With Atherosclerotic Cardiovascular Diseases: UK Biobank Study

Estimation of Machine Learning–Based Models to Predict Dementia Risk in Patients With Atherosclerotic Cardiovascular Diseases: UK Biobank Study

Authors of this article:

Zhengsheng Gu1 Author Orcid Image ;   Shuang Liu2 Author Orcid Image ;   Huijuan Ma2 Author Orcid Image ;   Yifan Long2 Author Orcid Image ;   Xuehao Jiao1 Author Orcid Image ;   Xin Gao1 Author Orcid Image ;   Bingying Du1, 3 Author Orcid Image ;   Xiaoying Bi1 Author Orcid Image ;   Xingjie Shi2 Author Orcid Image
Article Authors Cited by (2) Tweetations Metrics

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  2. You G, Wang K, Shen R, Chen X, Jiang J, Sun Y, Wu D, Xu J, Huang K, Yao C. Metabolomic aging clock predicts risk of different cardiovascular diseases in the UK Biobank. Metabolism 2026;176:156467 View