Open Access

ARTICLE

A Comprehensive Investigation of Machine Learning Feature Extraction and Classification Methods for Automated Diagnosis of COVID-19 Based on X-ray Images

Mazin Abed Mohammed¹, Karrar Hameed Abdulkareem², Begonya Garcia-Zapirain³, Salama A. Mostafa⁴, Mashael S. Maashi⁵, Alaa S. Al-Waisy¹, Mohammed Ahmed Subhi⁶, Ammar Awad Mutlag⁷, Dac-Nhuong Le^8,9,*

1 College of Computer Science and Information Technology, University of Anbar, Ramadi, 31001, Iraq
2 College of Agriculture, Al-Muthanna University, Samawah, 66001, Iraq
3 eVIDA Lab, University of Deusto, Bilbao, 48007, Spain
4 Faculty of Computer Science and Information Technology, Universiti Tun Hussein Onn Malaysia, Johor, 86400, Malaysia
5 Software Engineering Department, College of Computer and Information Sciences, King Saud University, Riyadh, 11451, Saudi Arabia
6 Faculty of Engineering and Built Environment, Universiti Kebangsaan Malaysia, Bangi, 43600, Malaysia
7 Pure Science Department, Ministry of Education, General Directorate of Curricula, Baghdad, 10, Iraq
8 Institute of Research and Development, Duy Tan University, Da Nang, 550000, Vietnam
9 Faculty of Information Technology, Duy Tan University, Da Nang, 550000, Vietnam

* Corresponding Author: Dac-Nhuong Le. Email: