Machine learning approach for the prediction of postpartum hemorrhage in vaginal birth

Abstract Postpartum hemorrhage is the leading cause of maternal morbidity. Clinical prediction of postpartum hemorrhage remains challenging, particularly in the case of a vaginal birth. We studied machine learning models to predict postpartum hemorrhage. Women who underwent vaginal birth at the Toky...

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Autores principales: Munetoshi Akazawa, Kazunori Hashimoto, Noda Katsuhiko, Yoshida Kaname
Formato: article
Lenguaje:EN
Publicado: Nature Portfolio 2021
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Acceso en línea:https://doaj.org/article/abe19006ac134c9c8f8e746be53455fd
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