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

Journal: JMIR medical informatics
Published Date: Aug 7, 2025

Abstract

BACKGROUND: The risk of developing atherosclerotic cardiovascular disease (ASCVD) varies among individuals and is related to a variety of lifestyle factors in addition to the presence of chronic diseases.

Authors

  • Hye-Jin Kim
    Department of Animal Life Science, College of Animal Life Science, Kangwon National University, Chuncheon 24341, Korea.
  • Heeji Choi
    Artificial Intelligence Research Center, College of Medicine, Hallym University, Chuhcneon-si, Republic of Korea.
  • Hyo-Jung Ahn
    Health Insurance Review and Assessment Research Institute, Health Insurance Review and Assessment Service, Wonju-si, Republic of Korea.
  • Seung-Ho Shin
    Artificial Intelligence Research Center, College of Medicine, Hallym University, Chuhcneon-si, Republic of Korea.
  • Chulho Kim
    Department of Neurology, Hallym University College of Medicine, Chuncheon-si, Korea. Electronic address: gumdol52@hallym.or.kr.
  • Sang-Hwa Lee
    National Marine Biodiversity Institute of Korea, Seocheon, Republic of Korea.
  • Jong-Hee Sohn
    Institute of New Frontier Research, Hallym University College of Medicine, Chuncheon 24253, Republic of Korea.
  • Jae-Jun Lee
    Department of Anesthesiology and Pain Medicine, Chuncheon Sacred Heart Hospital, Hallym University College of Medicine, Chuncheon 24253, Republic of Korea.

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