Development and validation of a machine learning model for prediction of cephalic dystocia
This study applied a LASSO-based logistic regression prediction model for cephalic dystocia. The model demonstrated good predictive performance and can assist in selecting the appropriate mode of delivery.
Authors
- Jinguo Zhai (ORCID: https://orcid.org/0000-0001-6161-2172)
- Zheng Yao (ORCID: https://orcid.org/0000-0002-7657-644X)
- Yumei Huang (ORCID: https://orcid.org/0009-0000-6860-2698)
- Xuerong Ran
- Defang Wu
- Xueyan Wang (ORCID: https://orcid.org/0009-0000-9975-7465)
Institutions
- Dongguan People’s Hospital (CN)
- Southern Medical University (CN)
Publication Details
- Journal
- BMC Pregnancy and Childbirth
- Published
- 2025-08-18
- DOI
- https://doi.org/10.1186/s12884-025-07972-8
- Citations
- 2
- Primary Topic
- Maternal and Perinatal Health Interventions
- Type
- article
- Field-Weighted Citation Impact
- 4.11
Funders
- Southern Medical University