Prediction of gestational diabetes mellitus using machine learning from birth cohort data of the Japan Environment and Children's Study

Prediction of gestational diabetes mellitus using machine learning from birth cohort data of the Japan Environment and Children's Study

Abstract Recently, prediction of gestational diabetes mellitus (GDM) using artificial intelligence (AI) from medical records has been reported. We aimed to evaluate GDM-predictive AI-based models using birth cohort data with a wide range of information and to explore factors contributing to GDM deve...

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Bibliographic Details
Main Authors: Masahiro Watanabe, Akifumi Eguchi, Kenichi Sakurai, Midori Yamamoto, Chisato Mori, The Japan Environment Children’s Study (JECS) Group
Format: Article
Language:English
Published: Nature Portfolio 2023-10-01
Series:Scientific Reports
Online Access:https://doi.org/10.1038/s41598-023-44313-1

Internet

https://doi.org/10.1038/s41598-023-44313-1

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