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

被引：0
|
作者：
Gabriel Cubillos
Max Monckeberg
Alejandra Plaza
Maria Morgan
Pablo A. Estevez
Mahesh Choolani
Matthew W. Kemp
Sebastian E. Illanes
Claudio A. Perez
机构：
[1] Universidad de Chile,Department of Electrical Engineering
[2] IMPACT,Department of Obstetrics and Gynecology and Laboratory of Reproductive Biology, Faculty of Medicine
[3] Center of Interventional Medicine for Precision and Advanced Cellular Therapy,Department of Obstetrics and Gynaecology
[4] Universidad de los Andes,undefined
[5] NUS Yong Loo Lin School of Medicine,undefined
[6] National University of Singapore,undefined
来源：
BMC Pregnancy and Childbirth | / 23卷
关键词：
Gestational diabetes mellitus (GDM); GDM risk prediction; Machine learning models; Data augmentation; Widely available variables;
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