Development of a Machine Learning Model to Predict Epidural-Related Maternal Fever During Labor Analgesia: A Multi-Algorithm Comparative Study with Prospective Implementation Framework
A machine learning model with high discriminative ability was constructed to predict the risk of ERMF. The CatBoost algorithm effectively identified parturients at elevated risk, and the accompanying visual tool offers evidence-based support for stratified management of intrapartum fever in clinical practice.
Authors
- Yihui Yang (ORCID: https://orcid.org/0000-0001-9549-4071)
- Guoxiu Zhang
- R. An (ORCID: https://orcid.org/0000-0003-0137-4509)
- Zhengquan Tan (ORCID: https://orcid.org/0009-0001-8935-0116)
Institutions
- First People’s Hospital of Zunyi (CN)
- Affiliated Hospital of Zunyi Medical College (CN)
Publication Details
- Journal
- International Journal of Women s Health
- Published
- 2025-12-01
- DOI
- https://doi.org/10.2147/ijwh.s560693
- Primary Topic
- Preterm Birth and Chorioamnionitis
- Type
- article
- Field-Weighted Citation Impact
- 0.00