Predicting risk of postpartum hemorrhage using machine learning approach: A systematic review

• Autores principales: Amene Ranjbar (Autor), Sepideh Rezaei Ghamsari (Autor), Banafsheh Boujarzadeh (Autor), Vahid Mehrnoush (Autor), Fatemeh Darsareh (Autor)
• Formato: Libro
• Publicado: BMJ Publishing Group, 2023-09-01T00:00:00Z.
• Materias: article
• Acceso en línea: Connect to this object online.

Background: Postpartum hemorrhage (PPH) could be avoided by identifying high-risk women. The objective of this systematic review is to determine PPH predictors using machine learning (ML) approaches. Method: This strategy included searching for studies from inception through November 2022 through th...