Three machine learning algorithms and their utility in exploring risk factors associated with primary cesarean section in low‐risk women: A methods paper-Reference-Cited by-同舟云学术

Three machine learning algorithms and their utility in exploring risk factors associated with primary cesarean section in low‐risk women: A methods paper

Published:2021-03-02 Issue:3 Volume:44 Page:559-570
ISSN:0160-6891
Container-title:Research in Nursing & Health
language:en
Short-container-title:Res Nurs Health

Author:

Clark Rebecca R. S.¹^ORCID,Hou Jintong²

Affiliation:

1. Center for Health Outcomes and Policy Research Leonard Davis Institute of Health Economics, University of Pennsylvania School of Nursing Philadelphia Pennsylvania USA

2. Drexel University School of Public Health Philadelphia Pennsylvania USA

Funder

National Institute of Nursing Research

Publisher

Wiley

Subject

General Nursing

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/nur.22122

Reference26 articles.

1. Labor Intervention and Outcomes in Women Who Are Nulliparous and Obese: Comparison of Nurse‐Midwife to Obstetrician Intrapartum Care

2. Maternal Mortality and Morbidity in the United States: Where Are We Now?