Prediction model for gestational diabetes mellitus using the XG Boost machine learning algorithm

Prediction model for gestational diabetes mellitus using the XG Boost machine learning algorithm

ObjectiveTo develop the extreme gradient boosting (XG Boost) machine learning (ML) model for predicting gestational diabetes mellitus (GDM) compared with a model using the traditional logistic regression (LR) method.MethodsA case–control study was carried out among pregnant women, who were assigned...

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Bibliographic Details
Main Authors: Xiaoqi Hu, Xiaolin Hu, Ya Yu, Jia Wang
Format: Article
Language:English
Published: Frontiers Media S.A. 2023-03-01
Series:Frontiers in Endocrinology
Subjects:
gestational diabetes mellitus
machine learning
prediction model
extreme gradient boosting
logistic regression
Online Access:https://www.frontiersin.org/articles/10.3389/fendo.2023.1105062/full

Internet

https://www.frontiersin.org/articles/10.3389/fendo.2023.1105062/full

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