Use of a Feed-Forward Back Propagation Network for the Prediction of Small for Gestational Age Newborns in a Cohort of Pregnant Patients with Thrombophilia

Use of a Feed-Forward Back Propagation Network for the Prediction of Small for Gestational Age Newborns in a Cohort of Pregnant Patients with Thrombophilia

(1) Background: Fetal growth restriction is a relatively common disorder in pregnant patients with thrombophilia. New artificial intelligence algorithms are a promising option for the prediction of adverse obstetrical outcomes. The aim of this study was to evaluate the predictive performance of a Fe...

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Bibliographic Details
Main Authors: Petronela Vicoveanu, Ingrid Andrada Vasilache, Ioana Sadiye Scripcariu, Dragos Nemescu, Alexandru Carauleanu, Dragos Vicoveanu, Ana Roxana Covali, Catalina Filip, Demetra Socolov
Format: Article
Language:English
Published: MDPI AG 2022-04-01
Series:Diagnostics
Subjects:
machine learning
thrombophilia
small for gestational age
Online Access:https://www.mdpi.com/2075-4418/12/4/1009

Internet

https://www.mdpi.com/2075-4418/12/4/1009

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