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Artificial intelligence technology for diagnosing COVID-19 cases: A review of substantial issues

Medicine
Islamic University of Gaza
Alsharif, M.H.; Alsharif, Y.H.; Chaudhry, S.A.; Albreem, M.A.; Jahid, A.; Hwang, E.
Alsharif, Mohammed H. (55968967000); Alsharif, Yahia H. (57219182946); Chaudhry, Shehzad Ashraf (55270209500); Albreem, Mahmoud A.M. (42061067000); Jahid, Abu (36988077400); Hwang, Eenjun (7101826788)
55968967000; 57219182946; 55270209500; 42061067000; 36988077400; 7101826788
2020
European Review for Medical and Pharmacological Sciences
Artificial intelligence technology for diagnosing COVID-19 cases: A review of substantial issues
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Verduci Editore s.r.l g.lombardi@verduci.it
Department of Electrical Engineering, Sejong University, Seoul, South Korea; Faculty of Medicine, Islamic University of Gaza, Gaza, Palestine; Department of Computer Engineering, İstanbul Gelişim Üniversitesi, Istanbul, Turkey; Department of Electronics and Communication Engineering, A’Sharqiyah University, Ibra, Ash Sharqiyah, Oman; Department of Electrical & Computer Engineering, University of Ottawa, Ottawa, ON, Canada; School of Electrical Engineering, Korea University, Seoul, South Korea
Alsharif, Mohammed H., Department of Electrical Engineering, Sejong University, Seoul, South Korea; Alsharif, Yahia H., Faculty of Medicine, Islamic University of Gaza, Gaza, Palestine; Chaudhry, Shehzad Ashraf, Department of Computer Engineering, İstanbul Gelişim Üniversitesi, Istanbul, Turkey; Albreem, Mahmoud A.M., Department of Electronics and Communication Engineering, A’Sharqiyah University, Ibra, Ash Sharqiyah, Oman; Jahid, Abu, Department of Electrical & Computer Engineering, University of Ottawa, Ottawa, ON, Canada; Hwang, Eenjun, School of Electrical Engineering, Korea University, Seoul, South Korea
E. Hwang; School of Electrical Engineering, Korea University, Seoul, South Korea; email: ehwang04@korea.ac.kr
23
10.26355/eurrev_202009_22875