This paper is in the following e-collection/theme issue:

Theme Issue: Medical Informatics and COVID-19 (116) JMIR Theme Issue: COVID-19 Special Issue (2481) Clinical Information and Decision Making (1580) Theme Issue: Novel Coronavirus (COVID-19) Outbreak Rapid Reports (1526) Outbreak and Pandemic Preparedness and Management (1775) Infectious Diseases (non-STD/STI) (1642) Decision Support for Health Professionals (1308) Artificial Intelligence (1636) Machine Learning (1659)

Published on in Vol 9, No 11 (2021): November

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/32726, first published .
Optimal Triage for COVID-19 Patients Under Limited Health Care Resources With a Parsimonious Machine Learning Prediction Model and Threshold Optimization Using Discrete-Event Simulation: Development Study

Optimal Triage for COVID-19 Patients Under Limited Health Care Resources With a Parsimonious Machine Learning Prediction Model and Threshold Optimization Using Discrete-Event Simulation: Development Study

Optimal Triage for COVID-19 Patients Under Limited Health Care Resources With a Parsimonious Machine Learning Prediction Model and Threshold Optimization Using Discrete-Event Simulation: Development Study

Authors of this article:

Jeongmin Kim1 Author Orcid Image ;   Hakyung Lim1 Author Orcid Image ;   Jae-Hyeon Ahn1 Author Orcid Image ;   Kyoung Hwa Lee2 Author Orcid Image ;   Kwang Suk Lee3 Author Orcid Image ;   Kyo Chul Koo3 Author Orcid Image
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New article: Optimal triage for COVID-19 patients under limited healthcare resources: Development of a parsimonious… https://t.co/Vyjz8EpUuk

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New JMIR MedInform: Optimal Triage for #covid19 #patients Under Limited #health Care Resources With a Parsimonious… https://t.co/8YyivzHvAM

1:33 PM · Nov 02, 2021

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RT @jmirpub: New JMIR MedInform: Optimal Triage for #covid19 #patients Under Limited #health Care Resources With a Parsimonious Machine Lea…

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