The early prediction of gestational diabetes mellitus by machine learning models
Abstract Background We aimed to determine the best-performing machine learning (ML)-based algorithm for predicting gestational diabetes mellitus (GDM) with sociodemographic and obstetrics features in the pre-conceptional period. Methods We collected the data of pregnant women who were admitted to th...
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Main Authors: | , , , , , |
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Format: | Book |
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BMC,
2024-08-01T00:00:00Z.
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