Application of machine learning in predicting perioperative neurocognitive disorders in elderly patients: the impact of sarcopenia-related features
Machine learning models, particularly AdaBoost integrated with SHAP, show significant potential in predicting PND in older surgical patients. The model's ability to clarify the impact of sarcopenia-related features enhances its clinical utility in preoperative risk assessment.
Authors
- Kanglai He (ORCID: https://orcid.org/0000-0001-5959-1042)
- Xiaochu Wu (ORCID: https://orcid.org/0000-0001-7055-9449)
- Zhengyu Qian
- Xiaobei Luo
- Kuan-Miao Lin (ORCID: https://orcid.org/0000-0002-9016-3481)
- Tianyao Zhang (ORCID: https://orcid.org/0000-0003-0012-2190)
Institutions
- Chengdu Medical College (CN)
- Sichuan University (CN)
- Soochow University (CN)
- First Affiliated Hospital of Chengdu Medical College (CN)
Publication Details
- Journal
- Frontiers in Medicine
- Published
- 2025-08-18
- DOI
- https://doi.org/10.3389/fmed.2025.1604333
- Primary Topic
- Intensive Care Unit Cognitive Disorders
- Type
- article
- Field-Weighted Citation Impact
- 0.00