CrossRef Text and Data Mining
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Machine Learning and Initial Nursing Assessment-Based Triage System for Emergency Department
Jae Yong Yu, Gab Yong Jeong, Ok Soon Jeong, Dong Kyung Chang, Won Chul Cha
Healthc Inform Res. 2020;26(1):13-19.   Published online January 31, 2020
DOI: https://doi.org/10.4258/hir.2020.26.1.13

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Machine Learning and Initial Nursing Assessment-Based Triage System for Emergency Department
Healthcare Informatics Research. 2020;26(1):13   Crossref logo
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Walking in – Initial visualisation and assessment at triage
Accident and Emergency Nursing. 2007;15(2):73-78   Crossref logo
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The new emergency department “Tuscan triage System”. Validation study
International Emergency Nursing. 2021;57:101014   Crossref logo
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Does Your Staff Really “Get” Initial Patient Assessment? Assessing Competency in Triage Using Simulated Patient Encounters
Journal of Emergency Nursing. 2010;36(4):370-374   Crossref logo
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Triage assessment of registered nurses in the emergency department
International Emergency Nursing. 2013;21(2):89-96   Crossref logo
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Emergency Department in Saudi Arabia: Why do we need a standardised triage system?
Australasian Emergency Nursing Journal. 2009;12(4):180-181   Crossref logo
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Initial Presentation to Triage: Does it Matter?
Journal of Emergency Nursing. 2010;36(2):182-183   Crossref logo
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Emergency Department Triage Prediction of Clinical Outcomes Using Machine Learning Models
The Journal of Emergency Medicine. 2019;57(5):752-753   Crossref logo
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Assessment of Emergency Triage Directives and Wait Times
Journal of Emergency Nursing. 2020;46(6):739   Crossref logo
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Initial assessment in the A & E department
Accident and Emergency Nursing. 1998;6(1):2-6   Crossref logo
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