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

Machine Learning (3348) Decision Support for Health Professionals (2355) Coronary Heart Disease (157) Cardiac Risk and Cardiac Risk Calculators (188) Cardiovascular Disease Prevention (281)

Published on in Vol 14 (2026)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/80809, first published .
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Machine Learning–Based Risk Prediction for Coronary Heart Disease Complicated by Hyperhomocysteinemia: Retrospective Study

Machine Learning–Based Risk Prediction for Coronary Heart Disease Complicated by Hyperhomocysteinemia: Retrospective Study

Authors of this article:

Ming-Yuan Du1, 2, 3 Author Orcid Image ;   Meng-Ke Lyu3 Author Orcid Image ;   Hai-long Liu1, 2, 3 Author Orcid Image ;   Yi-zhuo Li1, 2, 3 Author Orcid Image ;   Hai-feng Yan1, 2, 3 Author Orcid Image ;   Xiao-hui Li1, 2, 3 Author Orcid Image
Article Authors Cited by (2) Tweetations (2) Metrics

Journals

  1. Posada-Castellanos A, Gomez-Aristizabal M, Orrego-Franco C, Restrepo-Parra E, Lopez-Betancur L. Machine Learning Approach for Cardiovascular Disease Risk Stratification Using Ensemble Classifiers and Dimensionality Reduction. Life 2026;16(10):1724 View

Conference Proceedings

  1. Yusuf A, Masihi S, Adineh A, Maddipatla D, Bazuin B, Atashbar M. 2026 IEEE International Conference on Electro Information Technology (eIT). Cloud-Based AI Approach for Low-Cost and Non-Invasive Coronary Heart Disease Risk Prediction View