Prediction of Neurodevelopmental Outcomes in Very Preterm Infants: Comparing Machine Learning Methods to Logistic Regression

Prediction of Neurodevelopmental Outcomes in Very Preterm Infants: Comparing Machine Learning Methods to Logistic Regression

Purpose: Is machine learning (ML) superior to the traditionally used logistic regression (LR) in prediction of neurodevelopmental outcomes in preterm infants? Objectives: To develop and internally validate a ML model to predict neurodevelopmental impairment (NDI) in very preterm infants (<31 week...

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Bibliographic Details
Main Authors: Jehier Afifi, Tahani Ahmad, Alessandro Guida, Michael John Vincer, Samuel Alan Stewart
Format: Article
Language:English
Published: MDPI AG 2024-12-01
Series:Children
Subjects:
machine learning
predictive modeling
preterm infants
neurodevelopment
Online Access:https://www.mdpi.com/2227-9067/11/12/1512
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