Application of machine learning to identify risk factors of birth asphyxia

Application of machine learning to identify risk factors of birth asphyxia

Abstract Background Developing a prediction model that incorporates several risk factors and accurately calculates the overall risk of birth asphyxia is necessary. The present study used a machine learning model to predict birth asphyxia. Methods Women who gave birth at a tertiary Hospital in Bandar...

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Bibliographic Details
Main Authors: Fatemeh Darsareh, Amene Ranjbar, Mohammadsadegh Vahidi Farashah, Vahid Mehrnoush, Mitra Shekari, Malihe Shirzadfard Jahromi
Format: Article
Language:English
Published: BMC 2023-03-01
Series:BMC Pregnancy and Childbirth
Subjects:
Birth asphyxia
Risk factors
Machine learning
Online Access:https://doi.org/10.1186/s12884-023-05486-9

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