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Open Access

Peer-reviewed

Research Article

Validation of deep-learning-based triage and acuity score using a large national dataset

Joon-myoung Kwon ,

Contributed equally to this work with: Joon-myoung Kwon, Youngnam Lee

Roles Conceptualization, Data curation, Formal analysis, Investigation, Methodology, Project administration, Resources, Supervision, Validation, Writing – original draft, Writing – review & editing

Affiliation Department of Emergency Medicine, Mediplex Sejong Hospital, Incheon, Korea
⨯
Youngnam Lee ,

Contributed equally to this work with: Joon-myoung Kwon, Youngnam Lee

Roles Conceptualization, Data curation, Formal analysis, Investigation, Methodology, Project administration, Resources, Software, Supervision, Validation, Visualization, Writing – original draft, Writing – review & editing

* E-mail: youngnam.lee@vuno.co

Affiliation VUNO, Seoul, Korea

http://orcid.org/0000-0001-8295-1915

⨯
Yeha Lee,

Roles Conceptualization, Data curation, Formal analysis, Investigation, Methodology, Project administration, Resources, Software, Supervision, Validation, Visualization

Affiliation VUNO, Seoul, Korea
⨯
Seungwoo Lee,

Roles Data curation, Formal analysis, Software, Validation, Visualization

Affiliation VUNO, Seoul, Korea
⨯
Hyunho Park,

Roles Data curation, Formal analysis, Writing – review & editing

Affiliation VUNO, Seoul, Korea
⨯
Jinsik Park

Roles Conceptualization, Methodology, Project administration, Resources, Supervision

Affiliation Department of Cardiology, Mediplex Sejong Hospital, Incheon, Korea
⨯

Validation of deep-learning-based triage and acuity score using a large national dataset

Joon-myoung Kwon,
Youngnam Lee,
Yeha Lee,
Seungwoo Lee,
Hyunho Park,
Jinsik Park

x

Published: October 15, 2018
https://doi.org/10.1371/journal.pone.0205836

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