Machine learning models of depression in middle-aged and older adults with cardiovascular metabolic diseases.

Journal: Journal of affective disorders
Published Date: May 27, 2025

Abstract

BACKGROUND: The incidence of cardiovascular metabolic diseases (CMD) is increasing, and depression in CMD patients significantly impacts prognosis. Therefore, this study aimed to develop and validate a predictive model for depression in CMD patients using machine learning methods.

Authors

  • Haopeng Ke
    School of Mathematical Science, Shenzhen University, Shenzhen, 518060, China. Electronic address: 2070205031@email.szu.edu.cn.
  • Anning Xu
    Guangdong Cardiovascular Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou 510000, China.
  • Haofeng Zhou
    Department of Cardiology, Institute of Geriatric Medicine, Beijing Hospital, National Center of Gerontology, Chinese Academy of Medical Sciences, Beijing 100730, China; Graduate School of Peking Union Medical College, Chinese Academy of Medical Science, Beijing 100730, China.
  • Junnian Chen
    Department of Endocrinology, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China.
  • Wenjing Wu
    Department of Clinical Laboratory, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, 710061, China.
  • Qian He
    National Translational Science Center for Molecular Medicine and Department of Cell Biology, Fourth Military Medical University, Xi'an, 710032, China.
  • Huanyi Cao
    Department of Endocrinology, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China. Electronic address: caohuanyi@link.cuhk.edu.hk.

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