Machine learning to predict pregnancy outcomes: a systematic review, synthesizing framework and future research agenda

Machine learning to predict pregnancy outcomes: a systematic review, synthesizing framework and future research agenda

Abstract Machine Learning (ML) has been widely used in predicting the mode of childbirth and assessing the potential maternal risks during pregnancy. The primary aim of this review study is to explore current research and development perspectives that utilizes the ML techniques to predict the optima...

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Bibliographic Details
Main Authors: Muhammad Nazrul Islam, Sumaiya Nuha Mustafina, Tahasin Mahmud, Nafiz Imtiaz Khan
Format: Article
Language:English
Published: BMC 2022-04-01
Series:BMC Pregnancy and Childbirth
Subjects:
Machine learning
Literature review
Pregnancy
Childbirth
Data science
Neural network
Online Access:https://doi.org/10.1186/s12884-022-04594-2

Internet

https://doi.org/10.1186/s12884-022-04594-2

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