Using machine-learning risk prediction models to triage the acuity of undifferentiated patients entering the emergency care system: a systematic review

Using machine-learning risk prediction models to triage the acuity of undifferentiated patients entering the emergency care system: a systematic review

Abstract Background The primary objective of this review is to assess the accuracy of machine learning methods in their application of triaging the acuity of patients presenting in the Emergency Care System (ECS). The population are patients that have contacted the ambulance service or turned up at...

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Bibliographic Details
Main Authors: Jamie Miles, Janette Turner, Richard Jacques, Julia Williams, Suzanne Mason
Format: Article
Language:English
Published: BMC 2020-10-01
Series:Diagnostic and Prognostic Research
Subjects:
Ambulance service
Emergency department
Machine learning
Triage
Patients
Online Access:http://link.springer.com/article/10.1186/s41512-020-00084-1

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