机器学习预测怀孕中期的宫短部,基于第一季度查期的多模式数据:在高风险人群中的观察研究

Shengyu Wu1, Jiaqi Dong1, Jifan Shi2,3,4

  • 1Department of Obstetrics, Shanghai First Maternity and Infant Hospital, School of Medicine, Tongji University; Shanghai Key Laboratory of Maternal Fetal Medicine, Shanghai Institute of Maternal-Fetal Medicine and Gynecologic Oncology, Shanghai 200092, China.

Biomedicines
|September 27, 2025
PubMed
概括

一个XGBoost模型使用早期怀孕数据准确地预测了中期三个月的短宫. 这允许及时进行干预,以减少自发早产 (sPTB) 的风险.