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

Clinical Information and Decision Making (1407) Decision Support for Health Professionals (1185) Artificial Intelligence (1371) Outbreak and Pandemic Preparedness and Management (1727) Infectious Diseases (non-STD/STI) (1575) Machine Learning (1465) Advanced Data Analytics in eHealth (133)

Published on in Vol 26 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/52134, first published .
Development and Validation of a Robust and Interpretable Early Triaging Support System for Patients Hospitalized With COVID-19: Predictive Algorithm Modeling and Interpretation Study

Development and Validation of a Robust and Interpretable Early Triaging Support System for Patients Hospitalized With COVID-19: Predictive Algorithm Modeling and Interpretation Study

Development and Validation of a Robust and Interpretable Early Triaging Support System for Patients Hospitalized With COVID-19: Predictive Algorithm Modeling and Interpretation Study

Authors of this article:

Sangwon Baek1, 2 Author Orcid Image ;   Yeon joo Jeong3 Author Orcid Image ;   Yun-Hyeon Kim4 Author Orcid Image ;   Jin Young Kim5 Author Orcid Image ;   Jin Hwan Kim6 Author Orcid Image ;   Eun Young Kim7 Author Orcid Image ;   Jae-Kwang Lim8 Author Orcid Image ;   Jungok Kim9 Author Orcid Image ;   Zero Kim1, 10 Author Orcid Image ;   Kyunga Kim10, 11, 12 Author Orcid Image ;   Myung Jin Chung1, 10, 12, 13 Author Orcid Image
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