Identification of unique risk groups for preterm birth using routinely screened biomarkers and machine learning

被引：0
|
作者：
Jelliffe-Pawlowski, Laura [1 ,2 ]
Oltman, Scott P. [1 ,2 ]
Baer, Rebecca J. [2 ,3 ]
Ryckman, Kelli K. [4 ]
Rand, Larry [2 ,5 ]
机构：
[1] Univ Calif San Francisco, Sch Med, Dept Epidemiol & Biostat, San Francisco, CA USA
[2] UCSF Calif Preterm Birth Initiat, San Francisco, CA USA
[3] Univ Calif San Diego, Sch Med, Dept Pediat, San Diego, CA 92103 USA
[4] Univ Iowa, Dept Epidemiol, Iowa City, IA USA
[5] Univ Calif San Francisco, Sch Med, Dept Obstet & Reprod Sci, San Francisco, CA USA
来源：
AMERICAN JOURNAL OF OBSTETRICS AND GYNECOLOGY | 2017年 / 216卷 / 01期
关键词：
D O I：
10.1016/j.ajog.2016.11.559
中图分类号：
R71 [妇产科学];
学科分类号：
100211 ;
摘要：
301
引用
收藏
页码：S185 / S185
页数：1
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