Development of machine learning models to predict gestational diabetes risk in the first half of pregnancy
Abstract Background Early prediction of Gestational Diabetes Mellitus (GDM) risk is of particular importance as it may enable more efficacious interventions and reduce cumulative injury to mother and fetus. The aim of this study is to develop machine learning (ML) models, for the early prediction of...
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| Main Authors: | , , , , , , , , |
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| Format: | Book |
| Published: |
BMC,
2023-06-01T00:00:00Z.
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| Online Access: | Connect to this object online. |
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