Author Ayitijiang·Halili was erroneously written as Ayitijiang Halili.
Affiliation 1School of Law, Shanxi University of Finance and Economics, Taiyuan, China was erroneously written as: 1College of Public Management (Law), Shanxi University of Finance and Economics, Taiyuan, China.
Affiliation 2College of Public Management (Law), Xinjiang Agricultural University, Urumqi, China was erroneously written as 2School of Law, Xinjiang Agricultural University, Urumqi, China.
The original version of this article has been updated.
Statements
Publisher’s note
All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.
Summary
Keywords
disabled older adults, depression, risk prediction, machine learning, CHARLS, mental health LR, HistGBM, MLP
Citation
Jin T and Halili A (2025) Correction: Predicting the risk of depression in older adults with disability using machine learning: an analysis based on CHARLS data. Front. Artif. Intell. 8:1659362. doi: 10.3389/frai.2025.1659362
Received
04 July 2025
Accepted
07 July 2025
Published
23 July 2025
Approved by
Frontiers Editorial Office, Frontiers Media SA, Switzerland
Volume
8 - 2025
Updates
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) and the copyright owner(s) 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 1123961788@xjau.edu.cn
Disclaimer
All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.