Predicting Adverse Neurodevelopmental Outcomes in Premature Neonates with Intrauterine Growth Restriction Using a Three-Layered Neural Network

Predicting Adverse Neurodevelopmental Outcomes in Premature Neonates with Intrauterine Growth Restriction Using a Three-Layered Neural Network

<b>Background/Objectives</b>: There is a constant need to improve the prediction of adverse neurodevelopmental outcomes in growth-restricted neonates who were born prematurely. The aim of this retrospective study was to evaluate the predictive performance of a three-layered neural networ...

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Bibliographic Details
Main Authors: Anca Bivoleanu, Liliana Gheorghe, Bogdan Doroftei, Ioana-Sadiye Scripcariu, Ingrid-Andrada Vasilache, Valeriu Harabor, Ana-Maria Adam, Gigi Adam, Iulian Valentin Munteanu, Carolina Susanu, Iustina Solomon-Condriuc, Anamaria Harabor
Format: Article
Language:English
Published: MDPI AG 2025-01-01
Series:Diagnostics
Subjects:
artificial neural network
IUGR
preterm
Bailey-3 scale
neurodevelopmental delay
Online Access:https://www.mdpi.com/2075-4418/15/1/111
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