Interpretable machine-learning-based prediction of postpartum haemorrhage in normal vaginal births in Shanghai, China
The postpartum haemorrhage prediction model for vaginal births developed in this study will furnish clinical midwives with a scientific and objective tool for assessing the risk of postpartum haemorrhage, thereby supporting timely risk stratification and management in the immediate postpartum period.
Authors
- Rong Huang (ORCID: https://orcid.org/0000-0002-5840-3553)
- Shanshan Shan (ORCID: https://orcid.org/0000-0002-8758-420X)
- Hao Ying (ORCID: https://orcid.org/0000-0002-6098-7017)
- Yao Xiao (ORCID: https://orcid.org/0009-0005-0444-4420)
- Na Wu (ORCID: https://orcid.org/0000-0002-6752-8729)
- Yan Xu
- Yirong Bao
- Keying Huo
Institutions
- Shanghai First Maternity and Infant Hospital (CN)
Publication Details
- Journal
- Frontiers in Medicine
- Published
- 2025-10-15
- DOI
- https://doi.org/10.3389/fmed.2025.1670987
- Primary Topic
- Maternal and fetal healthcare
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Tongji University
- Chinese Medical Association