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

Machine Learning (3054) Decision Support for Health Professionals (2123) Coronary Heart Disease (150) Cardiac Risk and Cardiac Risk Calculators (165) Cardiovascular Disease Prevention (262) Precision Medicine (422)

Published on in Vol 13 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/74415, first published .
Man and woman performing medicine ball workout with fitness data overlays

Machine Learning–Based Analysis of Lifestyle Risk Factors for Atherosclerotic Cardiovascular Disease: Retrospective Case-Control Study

Machine Learning–Based Analysis of Lifestyle Risk Factors for Atherosclerotic Cardiovascular Disease: Retrospective Case-Control Study

Authors of this article:

Hye-Jin Kim1 Author Orcid Image ;   Heeji Choi1 Author Orcid Image ;   Hyo-Jung Ahn2 Author Orcid Image ;   Seung-Ho Shin1 Author Orcid Image ;   Chulho Kim3 Author Orcid Image ;   Sang-Hwa Lee3 Author Orcid Image ;   Jong-Hee Sohn3 Author Orcid Image ;   Jae-Jun Lee4 Author Orcid Image
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Journals

  1. Kubielas G, Uchmanowicz I, Lee C, Czapla M, Jakubiak G, Surma S, Lisiak M, Wleklik M. Smoking trends in Poland (2012–2021)—insights from the comprehensive cardiovascular risk prevention program. Frontiers in Public Health 2025;13 View

Conference Proceedings

  1. Hasnain S, Faris M, Pepe C, Ali M, Maria Zanoli S. 2026 27th International Carpathian Control Conference (ICCC). AI-Driven Ensemble Approaches for Early Prediction of Cardiovascular Disease Risk View