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

Clinical Information and Decision Making (1423) Machine Learning (1486) Decision Support for Health Professionals (1200)

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 (10) Tweetations (12) Metrics

Journals

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  8. Wang W, Liao C, Zhang H, Hu Y. Postpartum Haemorrhage Risk Prediction Model Developed by Machine Learning Algorithms: A Single-Centre Retrospective Analysis of Clinical Data. Clinical and Experimental Obstetrics & Gynecology 2024;51(3) View
  9. Mathewlynn S, Soltaninejad M, Collins S. Artificial Intelligence and Postpartum Hemorrhage. Maternal-Fetal Medicine 2024 View