Computational Approaches for Predicting Preterm Birth and Newborn Outcomes

被引：0
|
作者：
Seong, David [1 ,2 ,3 ,4 ]
Espinosa, Camilo [1 ,4 ,5 ,6 ]
Aghaeepour, Nima [4 ,5 ,6 ,8 ]
Laboratory, Aghaeepour [1 ,2 ,3 ,4 ,5 ,6 ,7 ]
机构：
[1] Stanford Univ, Immunol Program, Sch Med, 300 Pasteur Dr,Grant S280, Stanford, CA 94305 USA
[2] Stanford Univ, Med Scientist Training Program, Sch Med, 300 Pasteur Dr,Grant S280, Stanford, CA 94305 USA
[3] Stanford Univ, Dept Microbiol & Immunol, Sch Med, 300 Pasteur Dr,Grant S280, Stanford, CA 94305 USA
[4] Stanford Univ, Sch Med, Dept Anesthesiol Perioperat & Pain Med, 300 Pasteur Dr, Stanford, CA 94305 USA
[5] Stanford Univ, Dept Pediat, Sch Med, 300 Pasteur Dr,Grant S280, Stanford, CA 94305 USA
[6] Stanford Univ, Dept Biomed Data Sci, 300 Pasteur Dr,Grant S280, Stanford, CA 94305 USA
[7] Stanford Univ, Dept Pathol, Sch Med, 300 Pasteur Dr,Grant S280, Stanford, CA 94305 USA
[8] 300 Pasteur Dr,Grant S280, Stanford, CA 94305 USA
来源：
CLINICS IN PERINATOLOGY | 2024年 / 51卷 / 02期
关键词：
Preterm birth; Computational modeling; Multimodal; Neonatal outcomes; AGE; MORTALITY; TRENDS; CARE;
D O I：
10.1016/j.clp.2024.02.005
中图分类号：
R71 [妇产科学];
学科分类号：
100211 ;
摘要：
[No abstract available]
引用
收藏
页码：461 / 473
页数：13
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