Using Vital Signs for the Early Prediction of Necrotizing Enterocolitis in Preterm Neonates with Machine Learning.

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Title: Using Vital Signs for the Early Prediction of Necrotizing Enterocolitis in Preterm Neonates with Machine Learning.
Authors: Verhoeven R; Department of Surgery, Division of Pediatric Surgery, University Medical Center Groningen, University of Groningen, Hanzeplein 1, P.O. Box 30.001, 9700 RB Groningen, The Netherlands.; Department of Neonatology, Beatrix Children's Hospital, University Medical Center Groningen, University of Groningen, Hanzeplein 1, P.O. Box 30.001, 9700 RB Groningen, The Netherlands., Kupers T; Department of Neonatology, Beatrix Children's Hospital, University Medical Center Groningen, University of Groningen, Hanzeplein 1, P.O. Box 30.001, 9700 RB Groningen, The Netherlands.; Researchable, Zernikepad 12, 9747 AN Groningen, The Netherlands., Brunsch CL; Department of Neonatology, Beatrix Children's Hospital, University Medical Center Groningen, University of Groningen, Hanzeplein 1, P.O. Box 30.001, 9700 RB Groningen, The Netherlands., Hulscher JBF; Department of Surgery, Division of Pediatric Surgery, University Medical Center Groningen, University of Groningen, Hanzeplein 1, P.O. Box 30.001, 9700 RB Groningen, The Netherlands., Kooi EMW; Department of Neonatology, Beatrix Children's Hospital, University Medical Center Groningen, University of Groningen, Hanzeplein 1, P.O. Box 30.001, 9700 RB Groningen, The Netherlands.
Source: Children (Basel, Switzerland) [Children (Basel)] 2024 Nov 28; Vol. 11 (12). Date of Electronic Publication: 2024 Nov 28.
Publication Type: Journal Article
Journal Info: Publisher: MDPI AG Country of Publication: Switzerland NLM ID: 101648936 Publication Model: Electronic Cited Medium: Print ISSN: 2227-9067 (Print) Linking ISSN: 22279067 NLM ISO Abbreviation: Children (Basel) Subsets: PubMed not MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:2227-9067
DOI:10.3390/children11121452