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: | Yeliz Kaya (Author), Zafer Bütün (Author), Özer Çelik (Author), Ece Akça Salik (Author), Tuğba Tahta (Author), Arzu Altun Yavuz (Author) |
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Format: | Book |
Published: |
BMC,
2024-08-01T00:00:00Z.
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Online Access: | Connect to this object online. |
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