Analysis and Prediction of Gestational Diabetes Mellitus by the Ensemble Learning Method

Analysis and Prediction of Gestational Diabetes Mellitus by the Ensemble Learning Method

Abstract Gestational diabetes mellitus (GDM) is the most common disease in pregnancy and can cause a series of maternal and infant complications. A new study shows that GDM affects one in six deliveries. Identifying and screening for risk factors for GDM can effectively help intervene and improve th...

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Bibliographic Details
Main Authors: Xiaojia Wang, Yurong Wang, Shanshan Zhang, Lushi Yao, Sheng Xu
Format: Article
Language:English
Published: Springer 2022-08-01
Series:International Journal of Computational Intelligence Systems
Subjects:
Gestational diabetes mellitus (GDM)
Machine learning model
Ensemble learning method
The identification of risk factors for GDM
Online Access:https://doi.org/10.1007/s44196-022-00110-8

Internet

https://doi.org/10.1007/s44196-022-00110-8

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