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Predicting Neonatal Respiratory Outcomes Using Machine Learning: A Systematic Review Through a Life Course Lens

Janet Northcote1, Sawyer Olson, Tamara G R Macieira

  • 1Author Affiliations: University of Florida, College of Nursing, Gainesville, Florida, Department of Family, Community and Health Systems (Northcote, Macieira, and Pruinelli), and Department of Biobehavioral Nursing Science (Parker); and University of Florida, College of Medicine, Gainesville, Florida Department of Health Outcomes and Biomedical Informatics (Liu), and Department of Surgery (Pruinelli). None: (Olson).

Advances in Neonatal Care : Official Journal of the National Association of Neonatal Nurses
|July 13, 2026
PubMed
Summary

No abstract available in PubMed .

Keywords:
apneaartificial intelligencebronchopulmonary dysplasialife course health developmentmachine learningneonatal intensive care unitnewbornpulmonary hemorrhagerespiratory distress syndromerespiratory outcome

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