Machine Learning and Initial Nursing Assessment-Based Triage System for Emergency Department-Reference-Cited by-同舟云学术

Machine Learning and Initial Nursing Assessment-Based Triage System for Emergency Department

Published:2020 Issue:1 Volume:26 Page:13
ISSN:2093-3681
Container-title:Healthcare Informatics Research
language:en
Short-container-title:Healthc Inform Res

Author:

Yu Jae Yong¹^ORCID,Jeong Gab Yong²^ORCID,Jeong Ok Soon³^ORCID,Chang Dong Kyung¹³⁴^ORCID,Cha Won Chul¹²³^ORCID

Affiliation:

1. Department of Digital Health, Samsung Advanced Institute for Health Sciences & Technology (SAIHST), Sungkyunkwan University, Seoul, Korea.

2. Department of Emergency Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea.

3. Department of IT Planning, Samsung Medical Center, Seoul, Korea.

4. Department of Gastroenterology, Samsung Medical Center, Sungkyunkwan University School 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.2020.26.1.13

Reference16 articles.

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3. Who would most benefit from improved integrated care? Implementing an analytical strategy in South Somerset

4. Appropriate use of medical resources [Internet]. Chicago (IL). American Hospital Association's Physician Leadership Forum. 2013. cited at 2020 Jan 10. Available from: http://www.ahaphysicianforum.org/files/pdf/appropusewhiteppr.pdf

5. Evolution of triage systems

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