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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Detalles Bibliográficos
Autores principales: Anthony, Tayla, Mishra, Amit Kumar, Stassen, Willem, Son, Jarryd
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8472370/
https://www.ncbi.nlm.nih.gov/pubmed/34574881
http://dx.doi.org/10.3390/healthcare9091107

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8472370/
https://www.ncbi.nlm.nih.gov/pubmed/34574881
http://dx.doi.org/10.3390/healthcare9091107

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