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

JMIR Theme Issue: COVID-19 Special Issue (2452) Artificial Intelligence (1374) Theme Issue: Novel Coronavirus (COVID-19) Outbreak Rapid Reports (1517) Imaging Informatics (194) Outbreak and Pandemic Preparedness and Management (1728) Clinical Information and Decision Making (1409) Infectious Diseases (non-STD/STI) (1575) Machine Learning (1467)

Published on in Vol 23, No 2 (2021): February

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/23693, first published .
Fast and Accurate Detection of COVID-19 Along With 14 Other Chest Pathologies Using a Multi-Level Classification: Algorithm Development and Validation Study

Fast and Accurate Detection of COVID-19 Along With 14 Other Chest Pathologies Using a Multi-Level Classification: Algorithm Development and Validation Study

Fast and Accurate Detection of COVID-19 Along With 14 Other Chest Pathologies Using a Multi-Level Classification: Algorithm Development and Validation Study

Authors of this article:

Saleh Albahli1, 2 Author Orcid Image ;   Ghulam Nabi Ahmad Hassan Yar3 Author Orcid Image
Article Authors Cited by (25) Tweetations (6) Metrics

Saleh Albahli   1, 2 * , BSc, PhD ;   Ghulam Nabi Ahmad Hassan Yar   3 * , BS, MS

1 Department of Information Technology, College of Computer, Qassim University, Buraydah, Saudi Arabia

2 Department of Computer Science, Kent State University, Kent, OH, United States

3 Depratment of Electrical and Computer Engineering, Air University, Islamabad, Pakistan

*all authors contributed equally

Corresponding Author:

  • Saleh Albahli, BSc, PhD
  • Department of Information Technology
  • College of Computer
  • Qassim University
  • -
  • Buraydah, 51452
  • Saudi Arabia
  • Phone: 966 163012604
  • Email: salbahli@qu.edu.sa