Dies ist eine Übersichtsseite mit Metadaten zu dieser wissenschaftlichen Arbeit. Der vollständige Artikel ist beim Verlag verfügbar.
Machine learning to predict hospital admission at triage in paediatric emergency care: A meta-analysis
0
Zitationen
5
Autoren
2026
Jahr
Abstract
• This review shows ML models can predict paediatric ED admissions with high AUCs (up to 0.97). • Random forest algorithms using vital signs and triage data performed best.
Ähnliche Arbeiten
A new method of classifying prognostic comorbidity in longitudinal studies: Development and validation
1987 · 49.268 Zit.
APACHE II
1985 · 13.548 Zit.
Cochrane Database of Systematic Reviews
2003 · 11.297 Zit.
Epidemiology of severe sepsis in the United States: Analysis of incidence, outcome, and associated costs of care
2001 · 8.574 Zit.
The injury severity score: a method for describing patients with multiple injuries and evaluating emergency care.
1974 · 8.023 Zit.