Emergency Department Triage Prediction of Emergency Severity Index using Machine Learning Models

Emergency Department Triage Prediction of Emergency Severity Index using Machine Learning Models

Study Objective: The emergency department (ED) in the United States strongly rely on subjective assessment of patients. This study seeks to evaluate an electronic triage system based on machine learning models that can predict the patients emergency severity index (ESI). Methods: A dataset containin...

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Bibliographic Details
Main Authors: Sekandari, Zohib, Saleh, Shahin
Format: Others
Language:English
Published: KTH, Skolan för elektroteknik och datavetenskap (EECS) 2019
Subjects:
Machine Learning
Triage
ESI
Classification
Maskininlärning
Klassificering
Computer and Information Sciences
Data- och informationsvetenskap
Online Access:http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-259402

Internet

http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-259402

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