This paper is in the following e-collection/theme issue:

Clinical Information and Decision Making (1411) Machine Learning (1471) Decision Support for Health Professionals (1191)

Published on in Vol 24, No 7 (2022): July

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/34108, first published .
Prediction of Maternal Hemorrhage Using Machine Learning: Retrospective Cohort Study

Prediction of Maternal Hemorrhage Using Machine Learning: Retrospective Cohort Study

Prediction of Maternal Hemorrhage Using Machine Learning: Retrospective Cohort Study

Authors of this article:

Jill M Westcott1 Author Orcid Image ;   Francine Hughes2 Author Orcid Image ;   Wenke Liu3, 4 Author Orcid Image ;   Mark Grivainis3, 4 Author Orcid Image ;   Iffath Hoskins1 Author Orcid Image ;   David Fenyo3, 4 Author Orcid Image
Article Authors Cited by (8) Tweetations (12) Metrics

Jill M Westcott   1 , MD, MSc ;   Francine Hughes   2 , MD ;   Wenke Liu   3, 4 , PhD ;   Mark Grivainis   3, 4 , MSc ;   Iffath Hoskins   1 , MD ;   David Fenyo   3, 4 , PhD

1 Division of Maternal-Fetal Medicine, Department of Obstetrics and Gynecology, New York University Langone Health, New York, NY, United States

2 Montefiore Medical Center, Albert Einstein College of Medicine, Bronx, NY, United States

3 Institute for Systems Genetics, New York University Grossman School of Medicine, New York, NY, United States

4 Department of Biochemistry and Molecular Pharmacology, New York University Grossman School of Medicine, New York, NY, United States

Corresponding Author:

  • Jill M Westcott, MD, MSc
  • Division of Maternal-Fetal Medicine, Department of Obstetrics and Gynecology
  • New York University Langone Health
  • 462 First Avenue
  • New York, NY, 10016
  • United States
  • Phone: 1 2122637000
  • Email: jmwestcott@cmh.edu