Review on COVID-19 diagnosis models based on machine learning and deep learning approaches

Alyasseri, Zaid Abdi Alkareem, Faculty of Information Science and Technology, Universiti Kebangsaan Malaysia, Bangi, Selangor, Malaysia, University of Kufa, Kufa, Najaf, Iraq; Al Betar, Mohammed Azmi, Ajman University, Ajman, Ajman, United Arab Emirates, Department of Information Technology, Al-Balqa Applied University, Salt, Al-Balqa, Jordan; Abu Doush, Iyad, Department of Computing, American University of Kuwait, Kuwait City, Kuwait, Department of Computer Science, Yarmouk University, Irbid, Irbid, Jordan; Awadallah, Mohammed A., Ajman University, Ajman, Ajman, United Arab Emirates, Department of Computer Science, Al-Aqsa University, Gaza Strip, Palestine; Abasi, Ammar Kamal, Ajman University, Ajman, Ajman, United Arab Emirates, School of Computer Sciences, Universiti Sains Malaysia, Gelugor, Penang, Malaysia; Makhadmeh, Sharif Naser, Ajman University, Ajman, Ajman, United Arab Emirates, Faculty of Information Technology, Middle East University Jordan, Amman, Amman, Jordan; Alomari, Osama Ahmad, MLALP Research Group, University of Sharjah, Sharjah, Sharjah, United Arab Emirates; Abdulkareem, Karrar Hameed, College of Agriculture, Al-Muthanna University, Samawah, Muthanna, Iraq; Adam, Afzan, Faculty of Information Science and Technology, Universiti Kebangsaan Malaysia, Bangi, Selangor, Malaysia; Damasevicius, Robertas, Faculty of Applied Mathematics, Silesian University of Technology, Gliwice, Silesian, Poland; Mohammed, Mazin Abed, College of Computer Sciences and Information Technology, University of Anbar, Ramadi, Al Anbar, Iraq; Zitar, Raed Abu, Sorbonne Center of Artificial Intelligence, Sorbonne University Abu Dhabi, Abu Dhabi, Abu Dhabi, United Arab Emirates