Predicting severe maternal morbidity at admission for delivery using intelligible machine learning

被引：0
|
作者：
Xu, Zifei [1 ]
Bosschieter, Tomas M. [1 ]
Lan, Hui [1 ]
Lengerich, Benjamin [2 ]
Nori, Harsha [3 ]
Sitcov, Kristin [4 ]
Painter, Ian [4 ]
Souter, Vivienne [5 ]
Caruana, Rich [3 ]
机构：
[1] Stanford Univ, Stanford, CA 94305 USA
[2] MIT, Cambridge, MA USA
[3] Microsoft Res, Redmond, WA USA
[4] Fdn Hlth Care Qual, Seattle, WA USA
[5] Natera Inc, Austin, TN USA
来源：
AMERICAN JOURNAL OF OBSTETRICS AND GYNECOLOGY | 2023年 / 228卷 / 01期
关键词：
D O I：
暂无
中图分类号：
R71 [妇产科学];
学科分类号：
100211 ;
摘要：
624
引用
收藏
页码：S404 / S405
页数：2
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