This paper is in the following e-collection/theme issue:

Big Data Analytics for Elder Care (33) Disabilities (154) Frailty Detection, Assessment and Prediction (58) Machine Learning (2027) Artificial Intelligence, Machine Learning, and Natural Language Processing for Public Health (84)

Published on in Vol 8 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/66723, first published .
Development of a Longitudinal Model for Disability Prediction in Older Adults in China: Analysis of CHARLS Data (2015-2020)

Development of a Longitudinal Model for Disability Prediction in Older Adults in China: Analysis of CHARLS Data (2015-2020)

Development of a Longitudinal Model for Disability Prediction in Older Adults in China: Analysis of CHARLS Data (2015-2020)

Authors of this article:

Jingjing Chu1 Author Orcid Image ;   Ying Li1 Author Orcid Image ;   Xinyi Wang1 Author Orcid Image ;   Qun Xu2 Author Orcid Image ;   Zherong Xu1 Author Orcid Image
Article Authors Cited by (2) Tweetations Metrics

Journals

  1. Jin T, Halili A. Predicting the risk of depression in older adults with disability using machine learning: an analysis based on CHARLS data. Frontiers in Artificial Intelligence 2025;8 View
  2. Chen J, Lin Y, Hu R, Hu C. Prediction model for depression risk in middle-aged and elderly patients with metabolic syndrome: a nomogram and interpretable machine learning approach based on CHARLS. BMC Psychiatry 2025;25(1) View