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

页码：S581 / S581

页数：1

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