Machine Learning Model for Predicting Coronary Heart Disease Risk: Development and Validation Using Insights From a Japanese Population-Based Study.

Journal: JMIR cardio
PMID: 40354648

Abstract

BACKGROUND: Coronary heart disease (CHD) is a major cause of morbidity and mortality worldwide. Identifying key risk factors is essential for effective risk assessment and prevention. A data-driven approach using machine learning (ML) offers advanced techniques to analyze complex, nonlinear, and high-dimensional datasets, uncovering novel predictors of CHD that go beyond the limitations of traditional models, which rely on predefined variables.

Authors

  • Thien Vu
    Artificial Intelligence Center for Health and Biomedical Research, National Institutes of Biomedical Innovation, Health and Nutrition, 3-17 Senrioka-shinmachi, Osaka, 566-0002, Japan, 81 8093069457.
  • Yoshihiro Kokubo
    Department of Preventive Cardiology, National Cerebral and Cardiovascular Center, 6-1, Kishibe-Shinmachi, Suita, Osaka, 564-8565, Japan.
  • Mai Inoue
    Artificial Intelligence Center for Health and Biomedical Research, National Institutes of Biomedical Innovation, Health and Nutrition, 3-17 Senrioka-shinmachi, Osaka, 566-0002, Japan, 81 8093069457.
  • Masaki Yamamoto
    Department of Clinical Laboratory Medicine, Kyoto University Graduate School of Medicine, 54 Shogoin-kawahara-cho, Sakyo-ku, Kyoto 606-8507, Japan. Electronic address: masakiy@kuhp.kyoto-u.ac.jp.
  • Attayeb Mohsen
    Artificial Intelligence Center for Health and Biomedical Research, National Institutes of Biomedical Innovation, Health and Nutrition, 3-17 Senrioka-shinmachi, Osaka, 566-0002, Japan, 81 8093069457.
  • Agustin Martin-Morales
    Artificial Intelligence Center for Health and Biomedical Research, National Institutes of Biomedical Innovation, Health and Nutrition, 3-17 Senrioka-shinmachi, Osaka, 566-0002, Japan, 81 8093069457.
  • Research Dawadi
    Artificial Intelligence Center for Health and Biomedical Research, National Institutes of Biomedical Innovation, Health and Nutrition, 3-17 Senrioka-shinmachi, Osaka, 566-0002, Japan, 81 8093069457.
  • Takao Inoue
    Artificial Intelligence Center for Health and Biomedical Research, National Institutes of Biomedical Innovation, Health and Nutrition, 3-17 Senrioka-shinmachi, Osaka, 566-0002, Japan, 81 8093069457.
  • Jie Ting Tay
    Artificial Intelligence Center for Health and Biomedical Research, National Institutes of Biomedical Innovation, Health and Nutrition, 3-17 Senrioka-shinmachi, Osaka, 566-0002, Japan, 81 8093069457.
  • Mari Yoshizaki
    Artificial Intelligence Center for Health and Biomedical Research, National Institutes of Biomedical Innovation, Health and Nutrition, 3-17 Senrioka-shinmachi, Osaka, 566-0002, Japan, 81 8093069457.
  • Naoki Watanabe
    Artificial Intelligence Center for Health and Biomedical Research, National Institutes of Biomedical Innovation, Health and Nutrition, 3-17 Senrioka-shinmachi, Osaka, 566-0002, Japan, 81 8093069457.
  • Yuki Kuriya
    Artificial Intelligence Center for Health and Biomedical Research, National Institutes of Biomedical Innovation, Health and Nutrition, 3-17 Senrioka-shinmachi, Osaka, 566-0002, Japan, 81 8093069457.
  • Chisa Matsumoto
    Department of Preventive Cardiology, National Cerebral and Cardiovascular Center, Suita, Osaka, Japan.
  • Ahmed Arafa
    Department of Preventive Cardiology, National Cerebral and Cardiovascular Center, 6-1, Kishibe-Shinmachi, Suita, Osaka, 564-8565, Japan.
  • Yoko M Nakao
    Department of Preventive Cardiology, National Cerebral and Cardiovascular Center, 6-1, Kishibe-Shinmachi, Suita, Osaka, 564-8565, Japan.
  • Yuka Kato
    Department of Preventive Cardiology, National Cerebral and Cardiovascular Center, Suita, Osaka, Japan.
  • Masayuki Teramoto
    Department of Preventive Cardiology, National Cerebral and Cardiovascular Center, 6-1, Kishibe-Shinmachi, Suita, Osaka, 564-8565, Japan.
  • Michihiro Araki
    Artificial Intelligence Center for Health and Biomedical Research, National Institutes of Biomedical Innovation, Health and Nutrition, 3-17 Senrioka-shinmachi, Osaka, 566-0002, Japan, 81 8093069457.

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