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

页码：461 / 473

页数：13

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