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

Machine Learning (1965) Aging in Place (358) Frailty Detection, Assessment and Prediction (55) AI Applications in Public Health (21)

Published on in Vol 13 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/73030, first published .
Development and Validation of a Predictive Model for Activities of Daily Living Dysfunction in Older Adults: Retrospective Analysis of Data From the China Health and Retirement Longitudinal Study

Development and Validation of a Predictive Model for Activities of Daily Living Dysfunction in Older Adults: Retrospective Analysis of Data From the China Health and Retirement Longitudinal Study

Development and Validation of a Predictive Model for Activities of Daily Living Dysfunction in Older Adults: Retrospective Analysis of Data From the China Health and Retirement Longitudinal Study

Authors of this article:

Fangbo Lin1, 2 Author Orcid Image ;   Chao Liu1 Author Orcid Image ;   Hua Liu1 Author Orcid Image
Article Authors Cited by Tweetations (1) Metrics

Fangbo Lin   1, 2 , MD ;   Chao Liu   1 * , MD ;   Hua Liu   1 * , MD

1 Rehabilitation Medicine Department, The Affiliated Changsha Hospital of Xiangya School of Medicine, Central South University, Changsha, China

2 Neurology Department, Fujian Medical University Union Hospital, Fuzhou, China

*these authors contributed equally

Corresponding Author:

  • Chao Liu, MD
  • Rehabilitation Medicine Department
  • The Affiliated Changsha Hospital of Xiangya School of Medicine, Central South University
  • No. 311 Yinpan Road, Hunan Province
  • Changsha 410008
  • China
  • Phone: 86 15111271991
  • Email: lccssdyy@126.com