Machine learning to predict hospital admission at triage in paediatric emergency care: A meta-analysis

20260 citationsJournal Articlehybrid Open Access

Authors

Blanca Paola Pérez · Universidad Publica de Navarra

Octavio Galindo Osorio · Clinica Universidad de Navarra

Mónica Arias-Colinas · Navarre Institute of Health Research

José Manuel Moreno · Clinica Universidad de Navarra

Nerea Martín-Calvo · Universidad Publica de Navarra

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.

Topics & Keywords

Emergency and Acute Care Studies Artificial Intelligence in Healthcare and Education Sepsis Diagnosis and Treatment

UN Sustainable Development Goals

Quality Education

Publication Details

Published in: European Journal of Pediatrics

Volume 185, Issue 4

DOI: 10.1007/s00431-026-06895-6

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