Development of a machine learning-based predictive model for intraoperative hypothermia risk during radical surgery for oral cancer
The ML-based RF model provides reliable prediction of intraoperative hypothermia risk in oral cancer surgery. Surgical duration and baseline temperature emerged as key risk factors, offering targets for perioperative risk stratification and intervention.
Authors
- Hao Duan (ORCID: https://orcid.org/0000-0002-7078-8900)
Institutions
- Chinese People 's Liberation Army No. 85 Hospital (CN)
Publication Details
- Journal
- American Journal of Translational Research
- Published
- 2025-01-01
- DOI
- https://doi.org/10.62347/rigs6581
- Citations
- 1
- Primary Topic
- Radiomics and Machine Learning in Medical Imaging
- Type
- article
- Field-Weighted Citation Impact
- 1.36