Using machine learning to identify stillbirth risk utilizing data from the stillbirth collaborative research network

被引：0
|
作者：
Cersonsky, Tess E. K. [1 ]
Ayala, Nina K. [2 ]
Pinar, Halit [1 ,3 ]
Dudley, Donald J. [4 ]
Saade, George R. [5 ]
Silver, Robert M. [6 ]
Lewkowitz, Adam K. [1 ,3 ]
机构：
[1] Brown Univ, Alpert Med Sch, Providence, RI USA
[2] Brown Univ, Warren Alpert Med Sch, Women Infants Hosp Rhode Isl, Providence, RI USA
[3] Infants Hosp Rhode Isl, Providence, RI USA
[4] Univ Virginia, Charlottesville, VA USA
[5] Univ Texas Med Branch, Galveston, TX USA
[6] Univ Utah Hlth, Salt Lake City, UT 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：
907
引用
收藏
页码：S581 / S581
页数：1
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