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CORRECTION article

Front. Med., 03 September 2025

Sec. Geriatric Medicine

Volume 12 - 2025 | https://doi.org/10.3389/fmed.2025.1690396

Correction: Application of machine learning in predicting perioperative neurocognitive disorders in elderly patients: the impact of sarcopenia-related features

This article is a correction to:

  1. Application of Machine Learning in Predicting Perioperative Neurocognitive Disorders in Elderly Patients: The Impact of Sarcopenia-Related Features

    1. Read original article
Zhengyu Qian,&#x;Zhengyu Qian1,2†Xiaochu Wu,,&#x;Xiaochu Wu1,2,3†Kunyang HeKunyang He1Kaijie LinKaijie Lin1Xiaobei LuoXiaobei Luo4Tianyao Zhang, Tianyao Zhang1,2*
  • 1School of Clinical Medicine, Chengdu Medical College, Chengdu, China
  • 2The First Affiliated Hospital of Chengdu Medical College, Chengdu, China
  • 3National Clinical Research Center for Geriatrics, West China Hospital, Sichuan University, Chengdu, Sichuan, China
  • 4Suzhou Medical College, Soochow University, Suzhou, Jiangsu, China

A Correction on
Application of machine learning in predicting perioperative neurocognitive disorders in elderly patients: the impact of sarcopenia-related features

by Qian, Z., Wu, X., He, K., Lin, K., Luo, X., and Zhang, T. (2025). Front. Med. 12:1604333. doi: 10.3389/fmed.2025.1604333

Affiliation “2The First Affiliated Hospital of Chengdu Medical College, Chengdu, China” was omitted for author Zhengyu Qian.

The conflict of interest statement is unchanged.

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: machine learning, sarcopenia, postoperative cognitive dysfunction, SHapley Additive exPlanations, perioperative neurocognitive disorders

Citation: Qian Z, Wu X, He K, Lin K, Luo X and Zhang T (2025) Correction: Application of machine learning in predicting perioperative neurocognitive disorders in elderly patients: the impact of sarcopenia-related features. Front. Med. 12:1690396. doi: 10.3389/fmed.2025.1690396

Received: 21 August 2025; Accepted: 26 August 2025;
Published: 03 September 2025.

Approved by:

Frontiers Editorial Office, Frontiers Media SA, Switzerland

Copyright © 2025 Qian, Wu, He, Lin, Luo and Zhang. 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: Tianyao Zhang, dGlhbnlhb3poYW5nMTIzQDE2My5jb20=

†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.