Article

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

2021-02-12

Abstract excerpt

<h4>Importance</h4> Triage in the emergency department (ED) for admission and appropriate level of hospital care is a complex clinical judgment based on the tacit understanding of the patient’s likely acute course, availability of medical resources, and local practices. While a scoring tool could be valuable in triage, currently available tools have demonstrated limitations. <h4>Objective</h4> To develop a tool ba...

Topics

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

Identifiers and source

Literature Corpus work: ffeab734-e4bc-587f-bbb5-b9ab29f3c302
DOI: 10.1101/2021.02.09.21251397

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

Score for Emergency Risk Prediction (SERP): An Interpretable Machine Learning AutoScore–Derived Triage Tool for Predicting Mortality after Emergency AdmissionsDOI 10.1101/2021.02.09.21251397Read

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

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

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

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

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

Prognostic value of a four-level Chinese emergency triage for an Emergency Department: A prospective cohort studySemantic proximity Read

Discussion on the prediction model of early judgment of critical risk in emergency patientsSemantic proximity Read

A Multicenter Validation Study of the Deep Learning-based Early Warning Score for Predicting in-hospital Cardiac Arrest in Patients Admitted to General WardsSemantic proximity Read

Development and External Validation of Interpretable Partial Dependent Plot-based Triage Score for Emergency DepartmentsSemantic proximity Read

Machine learning models for early prognosis prediction in cardiogenic shockSemantic proximity Read

Improved Inpatient Deterioration Detection in General Wards by Using Time-Series Vital SignsSemantic proximity Read

Development and multicenter external validation of A Data-Driven Scoring System for Early and Rapid Identification of Sepsis in Emergency DepartmentsSemantic proximity Read