Using machine learning to predict the probability of incident 2-year depression in older adults with chronic diseases: a retrospective cohort study.

Journal: BMC psychiatry
PMID: 39623372

Abstract

BACKGROUND: Older adults with chronic diseases are at higher risk of depressive symptoms than those without. For the onset of depressive symptoms, the prediction ability of changes in common risk factors over a 2-year follow-up period is unclear in the Chinese older population. This study aimed to build risk prediction models (RPMs) to estimate the probability of incident 2-year depression using data from the China Health and Retirement Longitudinal Study (CHARLS).

Authors

  • Ying Zheng
    Department of Ultrasound, Beijing Youan Hospital, Capital Medical University, Beijing 100000, China. Electronic address: xl2264@126.com.
  • Taotao Zhang
    Hubei University of Medicine of Nursing, Shiyan, China. zhangtaotao88@sina.com.
  • Shu Yang
    Department of Health Management, Bengbu Medical College, Bengbu, 233030.
  • Fuzhi Wang
    School of Health Management, Bengbu Medical University, Bengbu, China.
  • Li Zhang
    Department of Animal Nutrition and Feed Science, College of Animal Science and Technology, Huazhong Agricultural University, Wuhan 430070, China.
  • Yuwen Liu
    Department of Orthopaedic Surgery, Children's Hospital of Nanjing Medical University, Nanjing, China.

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