Abstract:Background: Postpartum hemorrhage remains one of the largest causes of maternal morbidity and mortality in the United States.
Objective: To utilize machine learning techniques to identify patients at risk for postpartum hemorrhage at obstetric delivery.
Study Design: Women aged 18 to 55 delivering at a major academic center from July 2013 to October 2018 were included for analysis (n = 30,867). A total of 497 variables were collected from the electronic medical record including demographic information, obste… Show more
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