Early gestational diabetes mellitus risk predictor using neural network with NearMiss
Background Gestational diabetes mellitus (GDM) is globally recognized as a significant pregnancy-related condition, contributing to complex complications for both mothers and infants. Traditional glucose tolerance tests lack the ability to identify the risk of GDM in early pregnancy, hindering effec...
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| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Taylor & Francis Group
2025-12-01
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| Series: | Gynecological Endocrinology |
| Subjects: | |
| Online Access: | https://www.tandfonline.com/doi/10.1080/09513590.2025.2470317 |
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