Prediction Model of Late Fetal Growth Restriction with Machine Learning Algorithms
Background: This study aimed to develop a clinical model to predict late-onset fetal growth restriction (FGR). Methods: This retrospective study included seven hospitals and was conducted between January 2009 and December 2020. Two sets of variables from the first trimester until 13 weeks (E1) and t...
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| Asıl Yazarlar: | , , , , , , , |
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| Materyal Türü: | Artigo |
| Dil: | Inglês |
| Baskı/Yayın Bilgisi: |
MDPI AG
2024-11-01
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| Seri Bilgileri: | Life |
| Konular: | |
| Online Erişim: | https://www.mdpi.com/2075-1729/14/11/1521 |
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