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

Author

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, and Victor McKay

Subjects
Extreme prematurity, prediction, Outcomes, neurodevelopmental impairment, Medicine (General), R5-920
Abstract

Summary: Background: Infants born extremely preterm (

Published
2023
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