Machine learning models for predicting pre-eclampsia: a systematic review protocol

INTRODUCTION: Pre-eclampsia is one of the most serious clinical problems of pregnancy that contribute significantly to maternal mortality worldwide. This systematic review aims to identify and summarise the predictive factors of pre-eclampsia using machine learning models and evaluate the diagnostic...

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Detalles Bibliográficos
Autores principales: Ranjbar, Amene, Taeidi, Elham, Mehrnoush, Vahid, Roozbeh, Nasibeh, Darsareh, Fatemeh
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/PMC10496701/
https://www.ncbi.nlm.nih.gov/pubmed/37696628
http://dx.doi.org/10.1136/bmjopen-2023-074705

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10496701/
https://www.ncbi.nlm.nih.gov/pubmed/37696628
http://dx.doi.org/10.1136/bmjopen-2023-074705

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