Interpretable machine learning model for identification and risk factor of premature rupture of membranes (PROM) and its association with nutritional inflammatory index: a retrospective study
This study highlights the potential of machine learning in enhancing the understanding and prediction of PROM, and emphasizes the significance of inflammatory and nutritional indicators, paving the way for future research in maternal-fetal medicine.
Authors
- Qiulan Yu
- Yuan Ping (ORCID: https://orcid.org/0000-0002-0441-031X)
- Zheng Meng (ORCID: https://orcid.org/0000-0002-6775-3213)
- Xiaowei Zhang (ORCID: https://orcid.org/0000-0002-8679-8193)
- Haihong Wang (ORCID: https://orcid.org/0009-0000-4225-0997)
Institutions
- Yancheng Second People's Hospital (CN)
Publication Details
- Journal
- Frontiers in Medicine
- Published
- 2025-06-18
- DOI
- https://doi.org/10.3389/fmed.2025.1557919
- Citations
- 3
- Primary Topic
- Sepsis Diagnosis and Treatment
- Type
- article
- Field-Weighted Citation Impact
- 4.06