Machine Learning and Statistical Models to Predict Postpartum Hemorrhage

OBJECTIVE: To predict a woman’s risk of postpartum hemorrhage at labor admission using machine learning and statistical models. METHODS: Predictive models were constructed and compared using data from 10 of 12 sites in the U.S. Consortium for Safe Labor Study (2002–2008) that consistently reported e...

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Bibliographic Details
Published in:Obstet Gynecol
Main Authors: Venkatesh, Kartik K, Strauss, Robert A, Grotegut, Chad, Heine, R Philip, Chescheir, Nancy C, Stringer, Jeffrey SA, Stamilio, David M, Menard, M Katherine, Jelovsek, J. Eric
Format: Artigo
Language:Inglês
Published: 2020
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Article
Online Access:https://ncbi.nlm.nih.gov/pmc/articles/PMC7236480/
https://ncbi.nlm.nih.gov/pubmed/32168227
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1097/AOG.0000000000003759
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