ORIGINAL ARTICLE
Review on COVID-19 diagnosis models based on machine learning and deep learning approaches
Zaid Abdi Alkareem Alyasseri,
Mohammed Azmi Al-Betar,
Iyad Abu Doush,
Mohammed A. Awadallah,
Ammar Kamal Abasi,
Sharif Naser Makhadmeh,
Osama Ahmad Alomari,
Karrar Hameed Abdulkareem,
Afzan Adam,
Robertas Damasevicius,
Mazin Abed Mohammed,
Raed Abu Zitar,
Corresponding Author
Zaid Abdi Alkareem Alyasseri
Center for Artificial Intelligence Technology, Faculty of Information Science and Technology, Universiti Kebangsaan Malaysia, Bangi, Malaysia
ECE Department-Faculty of Engineering, University of Kufa, Najaf, Iraq
Correspondence
Zaid Abdi Alkareem Alyasseri, Center for Artificial Intelligence Technology, Faculty of Information Science and Technology, Universiti Kebangsaan Malaysia, 43600 Bangi, Selangor, Malaysia.
Email: [email protected]
Search for more papers by this authorMohammed Azmi Al-Betar
Artificial Intelligence Research Center (AIRC), Ajman University, Ajman, United Arab Emirates
Department of Information Technology, Al-Huson University College, Al-Balqa Applied University, Irbid, Jordan
Search for more papers by this authorIyad Abu Doush
Computing Department, College of Engineering and Applied Sciences, American University of Kuwait, Salmiya, Kuwait
Computer Science Department, Yarmouk University, Irbid, Jordan
Search for more papers by this authorMohammed A. Awadallah
Artificial Intelligence Research Center (AIRC), Ajman University, Ajman, United Arab Emirates
Department of Computer Science, Al-Aqsa University, Gaza, Palestine
Search for more papers by this authorAmmar Kamal Abasi
Artificial Intelligence Research Center (AIRC), Ajman University, Ajman, United Arab Emirates
School of Computer Sciences, Universiti Sains Malaysia, Penang, Malaysia
Search for more papers by this authorSharif Naser Makhadmeh
Faculty of Information Technology, Middle East University, Amman, Jordan
Artificial Intelligence Research Center (AIRC), Ajman University, Ajman, United Arab Emirates
Search for more papers by this authorOsama Ahmad Alomari
MLALP Research Group, University of Sharjah, Sharjah, United Arab Emirates
Search for more papers by this authorKarrar Hameed Abdulkareem
College of Agriculture, Al-Muthanna University, Samawah, Iraq
Search for more papers by this authorAfzan Adam
Center for Artificial Intelligence Technology, Faculty of Information Science and Technology, Universiti Kebangsaan Malaysia, Bangi, Malaysia
Search for more papers by this authorRobertas Damasevicius
Faculty of Applied Mathematics, Silesian University of Technology, Gliwice, Poland
Search for more papers by this authorMazin Abed Mohammed
College of Computer Science and Information Technology, University of Anbar, Anbar, Iraq
Search for more papers by this authorRaed Abu Zitar
Sorbonne Center of Artificial Intelligence, Sorbonne University-Abu Dhabi, Abu Dhabi, United Arab Emirates
Search for more papers by this authorZaid Abdi Alkareem Alyasseri,
Mohammed Azmi Al-Betar,
Iyad Abu Doush,
Mohammed A. Awadallah,
Ammar Kamal Abasi,
Sharif Naser Makhadmeh,
Osama Ahmad Alomari,
Karrar Hameed Abdulkareem,
Afzan Adam,
Robertas Damasevicius,
Mazin Abed Mohammed,
Raed Abu Zitar,
Corresponding Author
Zaid Abdi Alkareem Alyasseri
Center for Artificial Intelligence Technology, Faculty of Information Science and Technology, Universiti Kebangsaan Malaysia, Bangi, Malaysia
ECE Department-Faculty of Engineering, University of Kufa, Najaf, Iraq
Correspondence
Zaid Abdi Alkareem Alyasseri, Center for Artificial Intelligence Technology, Faculty of Information Science and Technology, Universiti Kebangsaan Malaysia, 43600 Bangi, Selangor, Malaysia.
Email: [email protected]
Search for more papers by this authorMohammed Azmi Al-Betar
Artificial Intelligence Research Center (AIRC), Ajman University, Ajman, United Arab Emirates
Department of Information Technology, Al-Huson University College, Al-Balqa Applied University, Irbid, Jordan
Search for more papers by this authorIyad Abu Doush
Computing Department, College of Engineering and Applied Sciences, American University of Kuwait, Salmiya, Kuwait
Computer Science Department, Yarmouk University, Irbid, Jordan
Search for more papers by this authorMohammed A. Awadallah
Artificial Intelligence Research Center (AIRC), Ajman University, Ajman, United Arab Emirates
Department of Computer Science, Al-Aqsa University, Gaza, Palestine
Search for more papers by this authorAmmar Kamal Abasi
Artificial Intelligence Research Center (AIRC), Ajman University, Ajman, United Arab Emirates
School of Computer Sciences, Universiti Sains Malaysia, Penang, Malaysia
Search for more papers by this authorSharif Naser Makhadmeh
Faculty of Information Technology, Middle East University, Amman, Jordan
Artificial Intelligence Research Center (AIRC), Ajman University, Ajman, United Arab Emirates
Search for more papers by this authorOsama Ahmad Alomari
MLALP Research Group, University of Sharjah, Sharjah, United Arab Emirates
Search for more papers by this authorKarrar Hameed Abdulkareem
College of Agriculture, Al-Muthanna University, Samawah, Iraq
Search for more papers by this authorAfzan Adam
Center for Artificial Intelligence Technology, Faculty of Information Science and Technology, Universiti Kebangsaan Malaysia, Bangi, Malaysia
Search for more papers by this authorRobertas Damasevicius
Faculty of Applied Mathematics, Silesian University of Technology, Gliwice, Poland
Search for more papers by this authorMazin Abed Mohammed
College of Computer Science and Information Technology, University of Anbar, Anbar, Iraq
Search for more papers by this authorRaed Abu Zitar
Sorbonne Center of Artificial Intelligence, Sorbonne University-Abu Dhabi, Abu Dhabi, United Arab Emirates
Search for more papers by this authorAbstract
COVID-19 is the disease evoked by a new breed of coronavirus called the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). Recently, COVID-19 has become a pandemic by infecting more than 152 million people in over 216 countries and territories. The exponential increase in the number of infections has rendered traditional diagnosis techniques inefficient. Therefore, many researchers have developed several intelligent techniques, such as deep learning (DL) and machine learning (ML), which can assist the healthcare sector in providing quick and precise COVID-19 diagnosis. Therefore, this paper provides a comprehensive review of the most recent DL and ML techniques for COVID-19 diagnosis. The studies are published from December 2019 until April 2021. In general, this paper includes more than 200 studies that have been carefully selected from several publishers, such as IEEE, Springer and Elsevier. We classify the research tracks into two categories: DL and ML and present COVID-19 public datasets established and extracted from different countries. The measures used to evaluate diagnosis methods are comparatively analysed and proper discussion is provided. In conclusion, for COVID-19 diagnosing and outbreak prediction, SVM is the most widely used machine learning mechanism, and CNN is the most widely used deep learning mechanism. Accuracy, sensitivity, and specificity are the most widely used measurements in previous studies. Finally, this review paper will guide the research community on the upcoming development of machine learning for COVID-19 and inspire their works for future development. This review paper will guide the research community on the upcoming development of ML and DL for COVID-19 and inspire their works for future development.
Open Research
DATA AVAILABILITY STATEMENT
Data sharing is not applicable to this article as no new data were created or analyzed in this study.
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