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Interpretable machine learning predicts postpartum hemorrhage at time of admission.
Wen, Timothy.
Affiliation
  • Wen T; 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.
Am J Obstet Gynecol MFM ; 6(8): 101355, 2024 Aug.
Article in En | MEDLINE | ID: mdl-38735774

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Machine Learning / Postpartum Hemorrhage Limits: Adult / Female / Humans / Pregnancy Language: En Journal: Am J Obstet Gynecol MFM Year: 2024 Document type: Article Country of publication:

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Machine Learning / Postpartum Hemorrhage Limits: Adult / Female / Humans / Pregnancy Language: En Journal: Am J Obstet Gynecol MFM Year: 2024 Document type: Article Country of publication: