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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
Research article (Healthcare, 2021) · cited 15× · AI/ML
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
Summary
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 is a scholarly article[1].
Key Facts
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's instance of is recorded as scholarly article[2].
References
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Use these citations when quoting this entity in research, articles, AI prompts, or wherever provenance matters. We aggregate Wikidata + Wikipedia + authoritative open-data sources; the stitched, scored, cross-referenced view is what 4ort.xyz contributes.
APA4ort.xyz Knowledge Graph. (2026). 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. Retrieved May 24, 2026, from https://4ort.xyz/entity/the-feasibility-of-using-machine-learning-to-classify-calls-to-south-african-emergency-dispatch-centres-according-to-pre
MLA“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.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/the-feasibility-of-using-machine-learning-to-classify-calls-to-south-african-emergency-dispatch-centres-according-to-pre.
BibTeX@misc{4ortxyz_the-feasibility-of-using-machine-learning-to-classify-calls-to-south-african-emergency-dispatch-centres-according-to-pre_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{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}}, year = {2026}, url = {https://4ort.xyz/entity/the-feasibility-of-using-machine-learning-to-classify-calls-to-south-african-emergency-dispatch-centres-according-to-pre}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): 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 — https://4ort.xyz/entity/the-feasibility-of-using-machine-learning-to-classify-calls-to-south-african-emergency-dispatch-centres-according-to-pre (retrieved 2026-05-24)
