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Updated: Jul 23, 2025

Assessment of Maternal Vascular Remodeling During Pregnancy in the Mouse Uterus
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可解释的机器学习来预测周产期不良结果:检查怀孕期间风险因素的边际预测值

Sun Ju Lee1, Gian-Gabriel P Garcia1, Kaitlyn K Stanhope2

  • 1H. Milton Stewart School of Industrial and Systems Engineering, Georgia Institute of Technology, Atlanta, GA (Ms Lee and Dr Garcia).

American journal of obstetrics & gynecology MFM
|July 16, 2023
PubMed
概括

这项研究开发了可解释的机器学习模型,以预测无双双双双双双双双双双双双双双双双双双双双双双双双双双双双双双双双双双双双双双双双双双双双双双双双双双双双双双双双双双双双双双双. 抑制素A是整个怀孕期间的关键预测因子,有助于早期风险识别,以便更好地进行临床干预.

关键词:
机器学习是机器学习.怀孕并发症 怀孕并发症风险预测风险预测

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