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

Theme Issue: Medical Informatics and COVID-19 (104) Artificial Intelligence (1214) JMIR Theme Issue: COVID-19 Special Issue (2394) Computer-Aided Diagnosis (102) Clinical Information and Decision Making (1339) Outbreak and Pandemic Preparedness and Management (1679) Decision Support for Health Professionals (1145) Infectious Diseases (non-STD/STI) (1490) Machine Learning (1400)

Published on in Vol 9, No 4 (2021): April

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/25884, first published .
Machine Learning Approach to Predicting COVID-19 Disease Severity Based on Clinical Blood Test Data: Statistical Analysis and Model Development

Machine Learning Approach to Predicting COVID-19 Disease Severity Based on Clinical Blood Test Data: Statistical Analysis and Model Development

Machine Learning Approach to Predicting COVID-19 Disease Severity Based on Clinical Blood Test Data: Statistical Analysis and Model Development

Authors of this article:

Sakifa Aktar1 Author Orcid Image ;   Md Martuza Ahamad1 Author Orcid Image ;   Md Rashed-Al-Mahfuz2 Author Orcid Image ;   AKM Azad3 Author Orcid Image ;   Shahadat Uddin4 Author Orcid Image ;   AHM Kamal5 Author Orcid Image ;   Salem A Alyami6 Author Orcid Image ;   Ping-I Lin7 Author Orcid Image ;   Sheikh Mohammed Shariful Islam8 Author Orcid Image ;   Julian MW Quinn9 Author Orcid Image ;   Valsamma Eapen7 Author Orcid Image ;   Mohammad Ali Moni7, 9, 10 Author Orcid Image
Article Authors Cited by (55) Tweetations (6) Metrics

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