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在中国上海正常的阴道分娩中基于可解释机器学习的产后出血预测

Xiao Yao1, Yirong Bao1, Na Wu1

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

Frontiers in medicine
|October 31, 2025
PubMed
概括

一个新的机器学习模型准确地预测了阴道分娩中产后出血风险. 关键因素包括助产士的经验,对分娩的恐惧,平等性,分娩时间,表皮切割和陪伴,有助于及时的临床管理.

关键词:
在这个过程中,因子因子是指因子因子.机器学习是机器学习.模型 模型 模型 模型产后出血症 产后出血症通过阴道分娩.

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