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Automatic Classification of the Korean Triage Acuity Scale in Simulated Emergency Rooms Using Speech Recognition and Natural Language Processing: a Proof of Concept Study.
Kim, Dongkyun; Oh, Jaehoon; Im, Heeju; Yoon, Myeongseong; Park, Jiwoo; Lee, Joohyun.
Affiliation
  • Kim D; Department of Electrical and Electronic Engineering, Hanyang University, Ansan, Korea.
  • Oh J; Department of Emergency Medicine, College of Medicine, Hanyang University, Seoul, Korea.
  • Im H; Department of Artificial Intelligence, Hanyang University, Seoul, Korea.
  • Yoon M; Department of Emergency Medicine, College of Medicine, Hanyang University, Seoul, Korea.
  • Park J; Department of Emergency Medicine, College of Medicine, Hanyang University, Seoul, Korea.
  • Lee J; Department of Electrical and Electronic Engineering, Hanyang University, Ansan, Korea. joohyunlee@hanyang.ac.kr.
J Korean Med Sci ; 36(27): e175, 2021 Jul 12.
Article in En | MEDLINE | ID: mdl-34254471
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Speech Perception / Triage / Deep Learning Type of study: Observational_studies / Prognostic_studies Limits: Adult / Aged / Humans / Middle aged Country/Region as subject: Asia Language: En Journal: J Korean Med Sci Journal subject: MEDICINA Year: 2021 Document type: Article
Fulltext
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Speech Perception / Triage / Deep Learning Type of study: Observational_studies / Prognostic_studies Limits: Adult / Aged / Humans / Middle aged Country/Region as subject: Asia Language: En Journal: J Korean Med Sci Journal subject: MEDICINA Year: 2021 Document type: Article