Predicting 2-year neurodevelopmental outcomes in extremely preterm infants using graphical network and machine learning approachesResearch in context

Predicting 2-year neurodevelopmental outcomes in extremely preterm infants using graphical network and machine learning approachesResearch in context

Summary: Background: Infants born extremely preterm (<28 weeks’ gestation) are at high risk of neurodevelopmental impairment (NDI) with 50% of survivors showing moderate or severe NDI when at 2 years of age. We sought to develop novel models by which to predict neurodevelopmental outcomes, hypot...

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Bibliographic Details
Main Authors: Sandra E. Juul, Thomas R. Wood, Kendell German, Janessa B. Law, Sarah E. Kolnik, Mihai Puia-Dumitrescu, Ulrike Mietzsch, Semsa Gogcu, Bryan A. Comstock, Sijia Li, Dennis E. Mayock, Patrick J. Heagerty, Rajan Wadhawan, Sherry E. Courtney, Tonya Robinson, Kaashif A. Ahmad, Ellen Bendel-Stenzel, Mariana Baserga, Edmund F. LaGamma, L. Corbin Downey, Raghavendra Rao, Nancy Fahim, Andrea Lampland, Ivan D. Frantz, III, Janine Khan, Michael Weiss, Maureen M. Gilmore, Nishant Srinivasan, Jorge E. Perez, Victor McKay
Format: Article
Language:English
Published: Elsevier 2023-02-01
Series:EClinicalMedicine
Subjects:
Extreme prematurity
prediction
Outcomes
neurodevelopmental impairment
Online Access:http://www.sciencedirect.com/science/article/pii/S2589537022005119

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http://www.sciencedirect.com/science/article/pii/S2589537022005119

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