Developing a resiliency model for survival without major morbidity in preterm infants

Developing a resiliency model for survival without major morbidity in preterm infants

Objective Develop and validate a resiliency score to predict survival and survival without neonatal morbidity in preterm neonates

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Bibliographische Detailangaben
Veröffentlicht in:Journal of perinatology 2023-04, Vol.43 (4), p.452-457
Hauptverfasser: Steurer, Martina A., Ryckman, Kelli K., Baer, Rebecca J., Costello, Jean, Oltman, Scott P., McCulloch, Charles E., Jelliffe-Pawlowski, Laura L., Rogers, Elizabeth E.
Format: Artikel
Sprache:eng
Schlagworte:
692/308/409
692/499
Codes
Collaboration
Datasets
Epidemiology
Ethnicity
Female
Gestational Age
Humans
Infant
Infant, Newborn
Infant, Newborn, Diseases
Infant, Premature
Machine learning
Medical research
Medicine
Medicine & Public Health
Morbidity
Neonates
Newborn babies
Pediatric Surgery
Pediatrics
Pregnancy
Premature babies
Premature birth
Probability
Regression analysis
Resilience
Sociodemographics
Survival
Variables
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Beschreibung
Zusammenfassung:Objective Develop and validate a resiliency score to predict survival and survival without neonatal morbidity in preterm neonates
ISSN:0743-8346
1476-5543
DOI:10.1038/s41372-022-01521-3