Machine learning approach to predict postpartum haemorrhage: a systematic review protocol

INTRODUCTION: Postpartum haemorrhage (PPH) is the most serious clinical problem of childbirth that contributes significantly to maternal mortality worldwide. This systematic review aims to identify predictors of PPH based on a machine learning (ML) approach. METHODS AND ANALYSIS: This review adhered...

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Detalles Bibliográficos
Autores principales: Boujarzadeh, Banafsheh, Ranjbar, Amene, Banihashemi, Farzaneh, Mehrnoush, Vahid, Darsareh, Fatemeh, Saffari, Mozhgan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BMJ Publishing Group 2023
Materias:
Obstetrics and Gynaecology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9853215/
https://www.ncbi.nlm.nih.gov/pubmed/36657750
http://dx.doi.org/10.1136/bmjopen-2022-067661

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9853215/
https://www.ncbi.nlm.nih.gov/pubmed/36657750
http://dx.doi.org/10.1136/bmjopen-2022-067661

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