ORIGINAL RESEARCH article
Front. Artif. Intell.
Sec. Medicine and Public Health
Volume 8 - 2025 | doi: 10.3389/frai.2025.1624171
This article is part of the Research TopicThe Applications of AI Techniques in Medical Data ProcessingView all 8 articles
Predicting the Risk of Depression in Older Adults with Disability Using Machine Learning: An Analysis Based on CHARLS Data
Provisionally accepted
- 1Law School of Shanxi University of Finance and Economics, 太原市, China
- 2School of Law, Xinjiang Agricultural University, Urumqi, China, Urumqi, China
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The advancement of artificial intelligence technologies has opened new avenues for depression prevention and management in older adults with disability (defined by basic or instrumental activities of daily living, BADL/IADL). This study systematically developed machine learning (ML) models to predict depression risk in disabled elderly individuals using longitudinal data from the China Health and Retirement Longitudinal Study (CHARLS), providing a potentially generalizable tool for early screening.
Keywords: disabled older adults, Depression, risk prediction, machine learning, CHARLS, mental health LR, HistGBM, MLP
Received: 07 May 2025; Accepted: 18 Jun 2025.
Copyright: © 2025 Jin and Halili. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
* Correspondence: Ayitijiang • Halili, School of Law, Xinjiang Agricultural University, Urumqi, China, Urumqi, China
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