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CORRECTION article

Front. Artif. Intell., 23 July 2025

Sec. Medicine and Public Health

Volume 8 - 2025 | https://doi.org/10.3389/frai.2025.1659362

Correction: Predicting the risk of depression in older adults with disability using machine learning: an analysis based on CHARLS data

  • 1School of Law, Shanxi University of Finance and Economics, Taiyuan, China
  • 2College of Public Management (Law), Xinjiang Agricultural University, Urumqi, China

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.

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.

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

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, MTEyMzk2MTc4OEB4amF1LmVkdS5jbg==

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.