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

Formative Evaluation of Digital Health Interventions (2491) JMIR Theme Issue: COVID-19 Special Issue (2461) Machine Learning (1501) Artificial Intelligence (1421) Decision Support for Health Professionals (1210) Clinical Information and Decision Making (1434) Imaging Informatics (200)

Published on in Vol 7 (2023)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/42324, first published .
Classifying COVID-19 Patients From Chest X-ray Images Using Hybrid Machine Learning Techniques: Development and Evaluation

Classifying COVID-19 Patients From Chest X-ray Images Using Hybrid Machine Learning Techniques: Development and Evaluation

Classifying COVID-19 Patients From Chest X-ray Images Using Hybrid Machine Learning Techniques: Development and Evaluation

Authors of this article:

Thanakorn Phumkuea1 Author Orcid Image ;   Thakerng Wongsirichot2 Author Orcid Image ;   Kasikrit Damkliang2 Author Orcid Image ;   Asma Navasakulpong3 Author Orcid Image
Article Authors Cited by (1) Tweetations (3) Metrics

Thanakorn Phumkuea   1 * , BSc ;   Thakerng Wongsirichot   2 * , PhD ;   Kasikrit Damkliang   2 , PhD ;   Asma Navasakulpong   3 , MD

1 College of Digital Science, Prince of Songkla University, Songkhla, Thailand

2 Division of Computational Science, Faculty of Science, Prince of Songkla University, Songkhla, Thailand

3 Division of Respiratory and Respiratory Critical Care Medicine, Faculty of Medicine, Prince of Songkla University, Songkhla, Thailand

*these authors contributed equally

Corresponding Author:

  • Thakerng Wongsirichot, PhD
  • Division of Computational Science, Faculty of Science
  • Prince of Songkla University
  • 15 Kanjanavanich Road, Hat Yai
  • Songkhla, 90110
  • Thailand
  • Phone: 66 846414784
  • Email: thakerng.w@psu.ac.th