Development of machine learning models to predict gestational diabetes risk in the first half of pregnancy

Abstract Background Early prediction of Gestational Diabetes Mellitus (GDM) risk is of particular importance as it may enable more efficacious interventions and reduce cumulative injury to mother and fetus. The aim of this study is to develop machine learning (ML) models, for the early prediction of...

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Bibliographic Details

Published in:	BMC Pregnancy and Childbirth
Main Authors:	Gabriel Cubillos, Max Monckeberg, Alejandra Plaza, Maria Morgan, Pablo A. Estevez, Mahesh Choolani, Matthew W. Kemp, Sebastian E. Illanes, Claudio A. Perez
Format:	Article
Language:	English
Published:	BMC 2023-06-01
Subjects:	Gestational diabetes mellitus (GDM) GDM risk prediction Machine learning models Data augmentation Widely available variables
Online Access:	https://doi.org/10.1186/s12884-023-05766-4