Automatic Classification of the Korean Triage Acuity Scale in Simulated Emergency Rooms Using Speech Recognition and Natural Language Processing: a Proof of Concept Study

BACKGROUND: Rapid triage reduces the patients' stay time at an emergency department (ED). The Korean Triage Acuity Scale (KTAS) is mandatorily applied at EDs in South Korea. For rapid triage, we studied machine learning-based triage systems composed of a speech recognition model and natural lan...

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Detalles Bibliográficos
Autores principales: Kim, Dongkyun, Oh, Jaehoon, Im, Heeju, Yoon, Myeongseong, Park, Jiwoo, Lee, Joohyun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Korean Academy of Medical Sciences 2021
Materias:
Original Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8275459/
https://www.ncbi.nlm.nih.gov/pubmed/34254471
http://dx.doi.org/10.3346/jkms.2021.36.e175

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8275459/
https://www.ncbi.nlm.nih.gov/pubmed/34254471
http://dx.doi.org/10.3346/jkms.2021.36.e175

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