Interpretable Machine Learning for Predicting Adverse Pregnancy Outcomes in Gestational Diabetes: Retrospective Cohort Study
This study underscores the potential of machine learning in predicting adverse outcomes in GDM, with interpretable features offering valuable clinical insights to enhance pregnancy management and maternal-infant health.
Authors
- Jiaxi Li (ORCID: https://orcid.org/0000-0002-9820-8461)
- Yan Ren (ORCID: https://orcid.org/0000-0003-4519-397X)
- Shidi He
- Xiaoqi Liu
Institutions
- Sichuan University (CN)
- West China Hospital of Sichuan University (CN)
- Maternal and Child Health Hospital of Sichuan Province (CN)
Publication Details
- Journal
- JMIR Medical Informatics
- Published
- 2025-09-16
- DOI
- https://doi.org/10.2196/71539
- Citations
- 3
- Primary Topic
- Gestational Diabetes Research and Management
- Type
- article
- Field-Weighted Citation Impact
- 6.17