Interpretable machine learning models to predict decline in intrinsic capacity among older adults in China: a prospective cohort study.

Journal: Maturitas
Published Date: May 7, 2025

Abstract

BACKGROUND: Monitoring intrinsic capacity and implementing appropriate interventions can support healthy aging. There are, though, few tools available for predicting decline in intrinsic capacity among older adults. This study aimed to develop and validate an interpretable machine learning model designed to identify populations at elevated risk of a decline in intrinsic capacity.

Authors

  • Runjie Sun
    School of Nursing School of Public Health, Yangzhou University, Yangzhou 225009, China.
  • Yijing Li
    School of Nursing School of Public Health, Yangzhou University, Yangzhou 225009, China.
  • Yanru Kang
    School of Nursing School of Public Health, Yangzhou University, Yangzhou 225009, China.
  • Xinqi Xu
    School of Nursing School of Public Health, Yangzhou University, Yangzhou 225009, China.
  • Jie Zhu
    Department of Digestive Diseases, Huashan Hospital, Fudan University, Shanghai 200040, P.R. China.
  • Haiyan Fu
    School of Nursing School of Public Health, Yangzhou University, Yangzhou 225009, China.
  • Yining Zhang
    School of Nursing School of Public Health, Yangzhou University, Yangzhou 225009, China.
  • Jingwen Lin
    School of Nursing School of Public Health, Yangzhou University, Yangzhou 225009, China.
  • Yongbing Liu
    School of Nursing School of Public Health, Yangzhou University, Yangzhou 225009, China. Electronic address: bingbing19950806@163.com.

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