Article

Development and External Validation of a High-Precision Model for Predicting ICU Admission from Emergency Department Triage

2025-07-23

Abstract excerpt

<h4>Objective</h4> To develop, internally evaluate, and externally validate a machine-learning (ML) model predicting intensive care unit (ICU) admission or death using information available solely at emergency department (ED) triage. Performance was primarily assessed by area under the precision-recall curve (AUPRC) to address severe class imbalance. <h4>Methods</h4> We trained an XGBoost classifier on the Medic...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work: 519a1485-c190-554c-b62a-f11a7a688b18
DOI: 10.1101/2025.07.22.25332000

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

Development and External Validation of a High-Precision Model for Predicting ICU Admission from Emergency Department TriageDOI 10.1101/2025.07.22.25332000Read

Multicenter analysis of COVID-19 hospitalizations and stacking machine learning algorithms for prediction of high-risk patientsSemantic proximity Read

Performance Evaluation of SXI++ and Comparative Triage Machine Learning Models for Enhanced Medical Decision-MakingSemantic proximity Read

Calibrated and Interpretable Machine Learning for ICU Mortality Prediction Using First 24-Hour Clinical DataSemantic proximity Read

Efficacy of early warning score systems as prediction tools for detecting critically ill patients in an outpatient settingSemantic proximity Read

A Machine Learning-Based Prediction of Hospital Mortality in Mechanically Ventilated ICU PatientsSemantic proximity Read

Development of machine learning model for predicting hospitalization in the prehospital settingSemantic proximity Read

A validation of machine learning-based risk scores in the prehospital settingSemantic proximity Read

Generalisability of AI-based scoring systems in the ICU: a systematic review and meta-analysisSemantic proximity Read

Score for Emergency Risk Prediction (SERP): An Interpretable Machine Learning AutoScore–Derived Triage Tool for Predicting Mortality after Emergency AdmissionsSemantic proximity Read

XGBoost-Based Prediction of ICU Mortality in Sepsis-Associated Acute Kidney Injury Patients Using MIMIC-IV Database with Validation from eICU DatabaseSemantic proximity Read

An external validation study of the Score for Emergency Risk Prediction (SERP), an interpretable machine learning-based triage score for the emergency departmentSemantic proximity Read

OASIS+: leveraging machine learning to improve the prognostic accuracy of OASIS severity score for predicting in-hospital mortalitySemantic proximity Read