Interpretable machine learning predicts postpartum hemorrhage at time of admission.

Journal: American journal of obstetrics & gynecology MFM
PMID: 38735774

Abstract

No abstract available for this article.

Authors

  • Timothy Wen
    Division of Maternal-Fetal Medicine, Department of Obstetrics, Gynecology, and Reproductive Sciences, University of California, San Francisco, San Francisco, CA.. Electronic address: timothy.wen2@ucsf.edu.

Keywords

External Resources

Popular Topics
Recent Journals