The Feasibility of Using Machine Learning to Classify Calls to South African Emergency Dispatch Centres According to Prehospital Diagnosis, by Utilising Caller Descriptions of the Incident

The Feasibility of Using Machine Learning to Classify Calls to South African Emergency Dispatch Centres According to Prehospital Diagnosis, by Utilising Caller Descriptions of the Incident

This paper presents the application of machine learning for classifying time-critical conditions namely sepsis, myocardial infarction and cardiac arrest, based off transcriptions of emergency calls from emergency services dispatch centers in South Africa. In this study we present results from the ap...

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Bibliographic Details
Main Authors: Tayla Anthony, Amit Kumar Mishra, Willem Stassen, Jarryd Son
Format: Article
Language:English
Published: MDPI AG 2021-08-01
Series:Healthcare
Subjects:
emergency medical services
emergency medical dispatch
sepsis
cardiac arrest
myocardial infarction
machine learning
Online Access:https://www.mdpi.com/2227-9032/9/9/1107

Internet

https://www.mdpi.com/2227-9032/9/9/1107

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