Predicting 2-year neurodevelopmental outcomes in extremely preterm infants using graphical network and machine learning approaches-Reference-Cited by-同舟云学术

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

Published:2023-02 Issue: Volume:56 Page:101782
ISSN:2589-5370
Container-title:eClinicalMedicine
language:en
Short-container-title:eClinicalMedicine

Author:

Juul Sandra E.^ORCID,Wood Thomas R.^ORCID,German Kendell,Law Janessa B.^ORCID,Kolnik Sarah E.,Puia-Dumitrescu Mihai,Mietzsch Ulrike,Gogcu Semsa,Comstock Bryan A.,Li Sijia,Mayock Dennis E.^ORCID,Heagerty Patrick J.,Wadhawan Rajan,Courtney Sherry E.,Robinson Tonya,Ahmad Kaashif A.,Bendel-Stenzel Ellen,Baserga Mariana,LaGamma Edmund F.,Downey L. Corbin,Rao Raghavendra,Fahim Nancy,Lampland Andrea,Frantz Ivan D.,Khan Janine,Weiss Michael,Gilmore Maureen M.,Srinivasan Nishant,Perez Jorge E.,McKay Victor

Funder

National Institute of Neurological Disorders and Stroke

Publisher

Elsevier BV

Subject

General Medicine

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3. Survival without major morbidity among very low birth weight infants in California;Lee;Pediatrics,2020

4. Neurodevelopmental impairment among extremely preterm infants in the neonatal Research network;Adams-Chapman;Pediatrics,2018

5. Survival and neurodevelopmental outcomes among periviable infants;Younge;N Engl J Med,2017

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3. Neurodevelopmental Impairments Prediction in Premature Infants Based on Clinical Data and Machine Learning Techniques;Stats;2024-07-12

4. Predicting 2-year neurodevelopmental outcomes in preterm infants using multimodal structural brain magnetic resonance imaging with local connectivity;Scientific Reports;2024-04-23

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