Comparison of Interpretable Machine Learning Models Using Systemic Inflammation Index to Predict Preterm Birth in Gestational Diabetes Mellitus
The XGBoost model outperforms in predicting GDM-related preterm birth by integrating traditional clinical and systemic inflammatory markers, enabling precise risk assessment to guide clinical management.
Authors
- Zhou Liu (ORCID: https://orcid.org/0000-0002-7169-0382)
- Qinxia Pang
- Jianfa Wu
- Ying Wang
- Rong Zhang
- Lingli Jiang
- Lei Peng
Institutions
- Shanghai University of Medicine and Health Sciences (CN)
Publication Details
- Journal
- International Journal of Women s Health
- Published
- 2026-02-01
- DOI
- https://doi.org/10.2147/ijwh.s541610
- Primary Topic
- Preterm Birth and Chorioamnionitis
- Type
- article
- Field-Weighted Citation Impact
- 0.00