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

Machine Learning (2006) Aging in Place (369) Frailty Detection, Assessment and Prediction (57) AI Applications in Public Health (27)

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 (1) Tweetations (1) Metrics

Journals

  1. Pu J, Jiang H, Wu J, Liu Y, Xu M, Tang Y, Tan Y, Wang Y. Association between simplified anthropometric age and functional performance metrics in older Chinese adults: A study on muscle strength, sit-to-stand ability, and gait speed. BMC Geriatrics 2025;25(1) View