Last Updated: 09/26/2026
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Found 6 publications
Time-Series Machine Learning for Prediction of Bronchopulmonary Dysplasia.
Journal: The Journal of pediatrics
Published: July 25, 2025
Intermittent hypoxemia metrics enhance bronchopulmonary dysplasia severity predictions in extremely low gestational age newborns.
Journal: Pediatric research
Published: July 06, 2025
Machine Learning for Clinical Decision Support in the Neonatal Intensive Care Unit.
Journal: NeoReviews
Published: October 14, 2024
Reducing Failed Extubations in Preterm Infants Via Standardization and Real-Time Decision Support.
Journal: Pediatrics
Published: July 06, 2023
Predicting Adverse Neonatal Outcomes for Preterm Neonates with Multi-Task Learning.
Journal: ArXiv
Published: April 10, 2023
Hydrocortisone and bronchopulmonary dysplasia: variables associated with response in premature infants.
Journal: Journal of perinatology : official journal of the California Perinatal Association
Published: September 13, 2019
Showing 1-6 of 6
Last Updated: 09/26/2026