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...

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Detalles Bibliográficos
Autores principales: Crockart, I.C., Brink, L.T., du Plessis, C., Odendaal, H.J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: 2021
Materias:
Article
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

Internet

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

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