Open Access

ARTICLE

Performance Comparison of Deep and Machine Learning Approaches Toward COVID-19 Detection

Amani Yahyaoui¹, Jawad Rasheed^2,*, Shtwai Alsubai³, Raed M. Shubair⁴, Abdullah Alqahtani⁵, Buket Isler⁶, Rana Zeeshan Haider⁷

1 Department of Software Engineering, Istanbul Sabahattin Zaim University, Istanbul, 34303, Turkey
2 Department of Software Engineering, Nisantasi University, Istanbul, 34398, Turkey
3 Department of Computer Science, College of Computer Engineering and Sciences, Prince Sattam bin Abdulaziz University, Al-Kharj, 11942, Saudi Arabia
4 Department of Electrical and Computer Engineering, New York University (NYU), Abu Dhabi, 129188, United Arab Emirates
5 College of Computer Engineering and Sciences, Prince Sattam bin Abdulaziz University, Al-Kharj, 11942, Saudi Arabia
6 Department of Computer Engineering, Istanbul Topkapi University, Istanbul, 34087, Turkey
7 Baqai Institute of Hematology, Baqai Medical University, Karachi, 75340, Pakistan

* Corresponding Author: Jawad Rasheed. Email: