Machine learning-based predictive modeling of angina pectoris in an elderly community-dwelling population: Results from the PoCOsteo study.

Journal: PloS one
Published Date: Aug 5, 2025

Abstract

BACKGROUND: Angina pectoris, a comparatively common complaint among older adults, is a critical warning sign of underlying coronary heart disease. We aimed to develop machine learning-based models using multiple algorithms to predict and identify the predictors of angina pectoris in an elderly community-dwelling population.

Authors

  • Shahrokh Mousavi
    Student Research Committee, School of Medicine, Shiraz University of Medical Sciences, Shiraz, Iran.
  • Zahrasadat Jalalian
    School of Medicine, Bushehr University of Medical Sciences, Bushehr, Iran.
  • Sima Afrashteh
    Department of Biostatistics and Epidemiology, Faculty of Health and Nutrition, Bushehr University of Medical Sciences, Bushehr, Iran.
  • Akram Farhadi
    The Persian Gulf Tropical Medicine Research Center, The Persian Gulf Biomedical Sciences Research Institute, Bushehr University of Medical Sciences, Bushehr, Iran.
  • Iraj Nabipour
    The Persian Gulf Marine Biotechnology Research Center, The Persian Gulf Biomedical Sciences Research Institute, Bushehr University of Medical Sciences, Bushehr, Iran.
  • Bagher Larijani
    Endocrinology and Metabolism Research Center, Endocrinology and Metabolism Clinical Sciences Institute, Tehran University of Medical Sciences, 1411713119, Tehran, Iran.

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