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

JMIR Theme Issue: COVID-19 Special Issue (2453) Outbreak and Pandemic Preparedness and Management (1728) Infectious Diseases (non-STD/STI) (1576) Theme Issue: Novel Coronavirus (COVID-19) Outbreak Rapid Reports (1518) Clinical Information and Decision Making (1412) Decision Support for Health Professionals (1191) Longitudinal and Cohort Studies in Public Health (310)

Published on in Vol 23, No 4 (2021): April

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/25852, first published .
Prediction Models for the Clinical Severity of Patients With COVID-19 in Korea: Retrospective Multicenter Cohort Study

Prediction Models for the Clinical Severity of Patients With COVID-19 in Korea: Retrospective Multicenter Cohort Study

Prediction Models for the Clinical Severity of Patients With COVID-19 in Korea: Retrospective Multicenter Cohort Study

Authors of this article:

Bumjo Oh1 Author Orcid Image ;   Suhyun Hwangbo2 Author Orcid Image ;   Taeyeong Jung2 Author Orcid Image ;   Kyungha Min1 Author Orcid Image ;   Chanhee Lee2 Author Orcid Image ;   Catherine Apio2 Author Orcid Image ;   Hyejin Lee3 Author Orcid Image ;   Seungyeoun Lee4 Author Orcid Image ;   Min Kyong Moon5 Author Orcid Image ;   Shin-Woo Kim6 Author Orcid Image ;   Taesung Park7 Author Orcid Image
Article Authors Cited by (12) Tweetations (2) Metrics

Journals

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  8. Dobrijević D, Andrijević L, Antić J, Rakić G, Pastor K. Hemogram‐based decision tree models for discriminating COVID‐19 from RSV in infants. Journal of Clinical Laboratory Analysis 2023;37(6) View
  9. Liu L, Song W, Patil N, Sainlaire M, Jasuja R, Dykes P. Predicting COVID-19 severity: Challenges in reproducibility and deployment of machine learning methods. International Journal of Medical Informatics 2023;179:105210 View
  10. Soares N, Hussein A, Muhammad J, Semreen M, ElGhazali G, Hamad M, Trongtrakul K. Plasma metabolomics profiling identifies new predictive biomarkers for disease severity in COVID-19 patients. PLOS ONE 2023;18(8):e0289738 View
  11. Ng D, Liew C, Tan K, Chin L, Ting G, Fadzilah N, Lim H, Zailanalhuddin N, Tan S, Affan M, Nasir F, Subramaniam T, Ali M, Rashid M, Ong S, Ch’ng C. Risk factors for disease severity among children with Covid-19: a clinical prediction model. BMC Infectious Diseases 2023;23(1) View
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