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CORRECTION article

Front. Med.

Sec. Geriatric Medicine

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

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

Provisionally accepted
Zhengyu  QianZhengyu Qian1,2Wu  XiaochuWu Xiaochu1,2,3He  KunyangHe Kunyang1Kaijie  LinKaijie Lin1Xiaobei  LuoXiaobei Luo4Tianyao  ZhangTianyao Zhang2*
  • 1Chengdu Medical College, Chengdu, China
  • 2First Affiliated Hospital of Chengdu Medical College, Chengdu, China
  • 3Sichuan University West China Hospital National Clinical Research Center for Geriatrics, Chengdu, China
  • 4Suzhou Medical College of Soochow University, Suzhou, China

The final, formatted version of the article will be published soon.

Keywords: machine learning, Sarcopenia, postoperative cognitive dysfunction, Shapley additive explanations, Perioperative neurocognitive disorders

Received: 21 Aug 2025; Accepted: 26 Aug 2025.

Copyright: © 2025 Qian, Xiaochu, Kunyang, 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) 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: Tianyao Zhang, First Affiliated Hospital of Chengdu Medical College, Chengdu, China

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