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Classification of intrauterine growth restriction at 34–38 weeks gestation with machine learning models
OBJECTIVE: Intrauterine growth restriction (IUGR) is one of the most common causes of stillbirths. The objective of this study is to develop a machine learning model that will be able to accurately and consistently predict whether the estimated fetal weight (EFW) will be below the 10th percentile at...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
2021
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8128140/ https://www.ncbi.nlm.nih.gov/pubmed/34007875 http://dx.doi.org/10.1016/j.imu.2021.100533 |