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CORRECTION article

Front. Public Health, 29 August 2025

Sec. Aging and Public Health

Volume 13 - 2025 | https://doi.org/10.3389/fpubh.2025.1684776

This article is part of the Research TopicIntegrated Strategies for Lifelong Health: Multidimensional Approaches to Aging and Lifestyle InterventionsView all 36 articles

Correction: Development and validation of an explainable machine learning model for predicting the risk of sleep disorders in older adults with multimorbidity: a cross-sectional study

This article is a correction to:

  1. Development and validation of an explainable machine learning model for predicting the risk of sleep disorders in older adults with multimorbidity: a cross-sectional study

    1. Read original article
Xia Wang&#x;Xia Wang1†Dan Zhang&#x;Dan Zhang2†Liu LuLiu Lu3Shujie MengShujie Meng1Yong LiYong Li4Rong ZhangRong Zhang4Jingjie ZhouJingjie Zhou5Qian YuQian Yu3Li ZengLi Zeng3Jiang ZhaoJiang Zhao4Yu ZengYu Zeng4Ru Gao Ru Gao6*
  • 1School of Basic Medical Sciences and School of Nursing, Chengdu University, Chengdu, China
  • 2Rehabilitation Department, Sichuan Provincial People's Hospital East Sichuan Hospital and Dazhou First People's Hospital, Dazhou, China
  • 3Nursing Department, The Fourth People's Hospital of Yibin, Yibin, China
  • 4Rehabilitation College, Sichuan Health Rehabilitation Vocational College, Zigong, China
  • 5Tellyes Scientific Inc., Tianjin, China
  • 6Nursing Department, The People's Hospital of Wenjiang Chengdu, Chengdu, China

A Correction on
Development and validation of an explainable machine learning model for predicting the risk of sleep disorders in older adults with multimorbidity: a cross-sectional study

by Wang, X., Zhang, D., Lu, L., Meng, S., Li, Y., Zhang, R., Zhou, J., Yu, Q., Zeng, L., Zhao, J., Zeng, Y., and Gao, R. (2025). Front. Public Health. 13:1619406. doi: 10.3389/fpubh.2025.1619406

In the published article, there was an error in the affiliation for author Dan Zhang. Instead of “Nursing Department, The People's Hospital of Wenjiang Chengdu, Chengdu, China”, it should be “Rehabilitation Department, Sichuan Provincial People's Hospital East Sichuan Hospital and Dazhou First People's Hospital, Dazhou, China”.

The original 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: machine learning, multimorbidity, older adults, sleep disorder, prediction model

Citation: Wang X, Zhang D, Lu L, Meng S, Li Y, Zhang R, Zhou J, Yu Q, Zeng L, Zhao J, Zeng Y and Gao R (2025) Correction: Development and validation of an explainable machine learning model for predicting the risk of sleep disorders in older adults with multimorbidity: a cross-sectional study. Front. Public Health 13:1684776. doi: 10.3389/fpubh.2025.1684776

Received: 13 August 2025; Accepted: 14 August 2025;
Published: 29 August 2025.

Approved by:

Frontiers Editorial Office, Frontiers Media SA, Switzerland

Copyright © 2025 Wang, Zhang, Lu, Meng, Li, Zhang, Zhou, Yu, Zeng, Zhao, Zeng and Gao. 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: Ru Gao, MTU0NDc1OTU3QHFxLmNvbQ==

†These authors have contributed equally to this work

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.