Machine learning models for predicting preeclampsia: a systematic review

Machine learning models for predicting preeclampsia: a systematic review

Abstract Background This systematic review provides an overview of machine learning (ML) approaches for predicting preeclampsia. Method This review adhered to the Preferred Reporting Items for Systematic Reviews and Meta-Analyzes (PRISMA) guidelines. We searched the Cochrane Central Register, PubMed...

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Bibliographic Details
Main Authors: Amene Ranjbar, Farideh Montazeri, Sepideh Rezaei Ghamsari, Vahid Mehrnoush, Nasibeh Roozbeh, Fatemeh Darsareh
Format: Article
Language:English
Published: BMC 2024-01-01
Series:BMC Pregnancy and Childbirth
Subjects:
Artificial intelligence
Machine learning
Preeclampsia
Systematic review
Online Access:https://doi.org/10.1186/s12884-023-06220-1

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