Predictive effect of postoperative recovery in general anesthesia patients using interpretable models based on swarm intelligence machine learning
The application of an interpretable swarm intelligence machine learning model can assist in predicting postoperative recovery in patients undergoing general anesthesia, thereby aiding clinicians in formulating subsequent intervention plans.
Authors
- Chia‐Ho Hua (ORCID: https://orcid.org/0000-0002-6642-4004)
- Xin Xu (ORCID: https://orcid.org/0000-0002-5644-5397)
- Jia Ye (ORCID: https://orcid.org/0000-0002-7242-6065)
- Mu Zhou (ORCID: https://orcid.org/0000-0001-5072-5630)
- Y. P. Chu
Institutions
- Sir Run Run Shaw Hospital (CN)
- Zhejiang University (CN)
Publication Details
- Journal
- Frontiers in Physiology
- Published
- 2025-08-29
- DOI
- https://doi.org/10.3389/fphys.2025.1565548
- Citations
- 1
- Primary Topic
- Artificial Intelligence in Healthcare and Education
- Type
- article
- Field-Weighted Citation Impact
- 0.65