Machine Learning-Based Prediction of Korean Triage and Acuity Scale Level in Emergency Department Patients-Reference-Cited by-同舟云学术

Machine Learning-Based Prediction of Korean Triage and Acuity Scale Level in Emergency Department Patients

Published:2019 Issue:4 Volume:25 Page:305
ISSN:2093-3681
Container-title:Healthcare Informatics Research
language:en
Short-container-title:Healthc Inform Res

Author:

Choi Sae Won¹²^ORCID,Ko Taehoon¹^ORCID,Hong Ki Jeong²³^ORCID,Kim Kyung Hwan¹⁴^ORCID

Affiliation:

1. Office of Hospital Information, Seoul National University Hospital, Seoul, Korea.

2. Department of Emergency Medicine, Seoul National University Hospital, Seoul, Korea.

3. Laboratory of Emergency Medical Services, Biomedical Research Institute, Seoul National University Hospital, Seoul, Korea.

4. Department of Thoracic and Cardiovascular Surgery, Seoul National University College of Medicine, Seoul, Korea.

Publisher

The Korean Society of Medical Informatics

Subject

Health Information Management,Health Informatics,Biomedical Engineering

Link

https://synapse.koreamed.org/pdf/10.4258/hir.2019.25.4.305

Reference29 articles.

1. National Emergency Medical Center. Emergency Medical Statistics Annual Report 2018 [Internet]. Seoul, Korea. National Emergency Medical Center. c2019. cited at 2019 Oct 18. Available from: https://www.e-gen.or.kr/nemc/statistics_annual_report.do

2. Changes in Relative Importance of the 5-Level Triage System, Korean Triage and Acuity Scale, for the Disposition of Emergency Patients Induced by Forced Reduction in Its Level Number: a Multi-Center Registry-based Retrospective Cohort Study

3. The Korean Triage and Acuity Scale: associations with admission, disposition, mortality and length of stay in the emergency department

4. Triage Performance in Emergency Medicine: A Systematic Review

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