IDEAS home Printed from https://ideas.repec.org/a/igg/jssmet/v13y2022i1p1-16.html
   My bibliography  Save this article

An Effective Deep Learning Model to Discriminate Coronavirus Disease From Typical Pneumonia

Author

Listed:
  • Jumana Waleed

    (Department of Computer Science, College of Science, University of Diyala, Iraq)

  • Ahmad Taher Azar

    (College of Computer and Information Sciences, Prince Sultan University, Riyadh, Saudi Arabia & Faculty of Computers and Artificial Intelligence, Benha University, Benha, Egypt)

  • Saad Albawi

    (College of Engineering, University of Diyala, Iraq)

  • Waleed Khaild Al-Azzawi

    (Department of Medical Instruments Engineering Techniques, Al-Farahidi University, Baghdad, Iraq)

  • Ibraheem Kasim Ibraheem

    (Computer Engineering Techniques Department, Al-Mustaqbal University College, Hilla, Iraq)

  • Ahmed Alkhayyat

    (Department of Computer Technical Engineering, College of Technical Engineering, The Islamic University, Najaf, Iraq)

  • Ibrahim A. Hameed

    (Department of ICT and Natural Sciences, Norwegian University of Science and Technology, Alesund, Norway)

  • Nashwa Ahmad Kamal

    (Faculty of Engineering, Cairo University, Giza, Egypt)

Abstract

Current technological advances are paving the way for technologies based on deep learning to be utilized in the majority of life fields. The effectiveness of these technologies has led them to be utilized in the medical field to classify and detect different diseases. Recently, the pandemic of coronavirus disease (COVID-19) has imposed considerable press on the health infrastructures all over the world. The reliable and early diagnosis of COVID-19-infected patients is crucial to limit and prevent its outbreak. COVID-19 diagnosis is feasible by utilizing reverse transcript-polymerase chain reaction testing; however, diagnosis utilizing chest x-ray radiography is deemed safe, reliable, and precise in various cases.

Suggested Citation

  • Jumana Waleed & Ahmad Taher Azar & Saad Albawi & Waleed Khaild Al-Azzawi & Ibraheem Kasim Ibraheem & Ahmed Alkhayyat & Ibrahim A. Hameed & Nashwa Ahmad Kamal, 2022. "An Effective Deep Learning Model to Discriminate Coronavirus Disease From Typical Pneumonia," International Journal of Service Science, Management, Engineering, and Technology (IJSSMET), IGI Global, vol. 13(1), pages 1-16, January.
    • Handle: RePEc:igg:jssmet:v:13:y:2022:i:1:p:1-16
    as

    Download full text from publisher

    File URL: http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/IJSSMET.313175
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Rajiv Sindwani & Vikram Singh & Sandeep Grover, 2011. "Identification of Attributes of TQM in an Educational Institute: A System Model," International Journal of Service Science, Management, Engineering, and Technology (IJSSMET), IGI Global, vol. 2(2), pages 48-64, April.
    2. Neetima Agarwal & Vandana Ahuja, 2014. "Creation of the Training-Chart: A Step Forward to Make the Training More Effective," International Journal of Service Science, Management, Engineering, and Technology (IJSSMET), IGI Global, vol. 5(2), pages 1-18, April.
    3. Pamm Phillips & Brianna Newland, 2014. "Emergent models of sport development and delivery: The case of triathlon in Australia and the US," Sport Management Review, Taylor & Francis Journals, vol. 17(2), pages 107-120, April.
    4. Graham Cuskelly & Russell Hoye, 2013. "Sports officials’ intention to continue," Sport Management Review, Taylor & Francis Journals, vol. 16(4), pages 451-464, October.
    5. Pedro C. Marques & Pedro F. Cunha, 2014. "Integrating Product-Service Systems with New Business Models Definition for Manufacturing Industries," International Journal of Service Science, Management, Engineering, and Technology (IJSSMET), IGI Global, vol. 5(3), pages 16-33, July.
    6. Neeta Baporikar, 2017. "Organization Communiqué Effect on Job Satisfaction and Commitment in Namibia," International Journal of Service Science, Management, Engineering, and Technology (IJSSMET), IGI Global, vol. 8(4), pages 19-41, October.
    7. Pedro C. Marques & Pedro F. Cunha, 2014. "Integrating Product-Service Systems with New Business Models Definition for Manufacturing Industries," International Journal of Service Science, Management, Engineering, and Technology (IJSSMET), IGI Global, vol. 5(2), pages 64-84, April.
    8. Wicker, Pamela & Hallmann, Kirstin & Breuer, Christoph, 2013. "Analyzing the impact of sport infrastructure on sport participation using geo-coded data: Evidence from multi-level models," Sport Management Review, Elsevier, vol. 16(1), pages 54-67.
    9. Pamela Wicker & Christoph Breuer, 2014. "Exploring the organizational capacity and organizational problems of disability sport clubs in Germany using matched pairs analysis," Sport Management Review, Taylor & Francis Journals, vol. 17(1), pages 23-34, January.
    10. Felix Mutter & Tim Pawlowski, 2014. "Role models in sports – Can success in professional sports increase the demand for amateur sport participation?," Sport Management Review, Taylor & Francis Journals, vol. 17(3), pages 324-336, July.
    11. Cuskelly, Graham & Hoye, Russell, 2013. "Sports officials’ intention to continue," Sport Management Review, Elsevier, vol. 16(4), pages 451-464.
    12. Phillips, Pamm & Newland, Brianna, 2014. "Emergent models of sport development and delivery: The case of triathlon in Australia and the US," Sport Management Review, Elsevier, vol. 17(2), pages 107-120.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Truyens, Jasper & De Bosscher, Veerle & Sotiriadou, Popi & Heyndels, Bruno & Westerbeek, Hans, 2016. "A method to evaluate countries’ organisational capacity: A four country comparison in athletics," Sport Management Review, Elsevier, vol. 19(3), pages 279-292.
    2. Kumar, Harish & Manoli, Argyro Elisavet & Hodgkinson, Ian R. & Downward, Paul, 2018. "Sport participation: From policy, through facilities, to users’ health, well-being, and social capital," Sport Management Review, Elsevier, vol. 21(5), pages 549-562.
    3. Fraser Carson & Natalie Dynon & Joe Santoro & Peter Kremer, 2020. "Examining Negative Emotional Symptoms and Psychological Wellbeing of Australian Sport Officials," IJERPH, MDPI, vol. 17(21), pages 1-14, November.
    4. Wang Zhigang & Liu Yingfei & Zhang Jinyao & Liu Xintao & Duan Hongyan & Zhang Lei, 2022. "How Sports Event Volunteer Management Affects Volunteers’ Satisfaction and Engagement: The Mediating Role of Social Capital," SAGE Open, , vol. 12(2), pages 21582440221, June.
    5. Aizawa, Kurumi & Wu, Ji & Inoue, Yuhei & Sato, Mikihiro, 2018. "Long-term impact of the Tokyo 1964 Olympic Games on sport participation: A cohort analysis," Sport Management Review, Elsevier, vol. 21(1), pages 86-97.
    6. Cabane Charlotte & Lechner Michael, 2015. "Physical Activity of Adults: A Survey of Correlates, Determinants, and Effects," Journal of Economics and Statistics (Jahrbuecher fuer Nationaloekonomie und Statistik), De Gruyter, vol. 235(4-5), pages 376-402, August.
    7. Haoyi Huang & Eddie W. L. Cheng, 2022. "The Role of Commitment in an Extended Theory of Planned Behavior: Test of Its Mediating Effect with Partial Least Squares Structural Equation Modeling," Mathematics, MDPI, vol. 10(7), pages 1-13, March.
    8. Pedras, Loïc & Taylor, Tracy & Frawley, Stephen, 2020. "Responses to multi-level institutional complexity in a national sport federation," Sport Management Review, Elsevier, vol. 23(3), pages 482-497.
    9. Florian Moussi-Beylie, 2023. "The trickle-down theory: a reality in French sports?," TEPP Working Paper 2023-04, TEPP.
    10. Fecher, Florian & Winding, Johanna & Hutter, Katja & Füller, Johann, 2020. "Innovation labs from a participants' perspective," Journal of Business Research, Elsevier, vol. 110(C), pages 567-576.
    11. Wicker, Pamela, 2017. "Volunteerism and volunteer management in sport," Sport Management Review, Elsevier, vol. 20(4), pages 325-337.
    12. Pawlowski, Tim & Steckenleiter, Carina & Wallrafen, Tim & Lechner, Michael, 2021. "Individual labor market effects of local public expenditures on sports," Labour Economics, Elsevier, vol. 70(C).
    13. Felipe Magno & Carla Schwengber ten Caten & Alberto Reinaldo Reppold Filho & Aline Marian Callegaro & Alan de Carvalho Dias Ferreira, 2020. "Factors Related to Sports Participation in Brazil: An Analysis Based on the 2015 National Household Survey," IJERPH, MDPI, vol. 17(17), pages 1-17, August.
    14. Luke R. Potwarka & Pamela Wicker, 2020. "Conditions under Which Trickle-Down Effects Occur: A Realist Synthesis Approach," Sustainability, MDPI, vol. 13(1), pages 1-17, December.
    15. Hanna Nałęcz & Łukasz Skrok & Dawid Majcherek & Elżbieta Biernat, 2020. "Through Sport to Innovation: Sustainable Socio-Economic Development in European Countries," Sustainability, MDPI, vol. 12(24), pages 1-16, December.
    16. MUSSO Fabio & RICHELIEU Andre & FRANCIONI Barbara, 2016. "The Management Of Small Sport Clubs Musso," Revista Economica, Lucian Blaga University of Sibiu, Faculty of Economic Sciences, vol. 68(5), pages 121-138, December.
    17. Junpei Huang & Shanlang Lin & Xiaoli Hu & Ruofei Lin, 2022. "Are Sports Champions Also Anti-Epidemic Heroes? Quantitative Research on the Influence of Sports Champions’ Demonstration Effect on the COVID-19 Epidemic in China," IJERPH, MDPI, vol. 19(4), pages 1-18, February.
    18. Martin Grancay & Tomas Dudas, 2018. "Olympic Medals, Economy, Geography and Politics from Sydney to Rio," Iranian Economic Review (IER), Faculty of Economics,University of Tehran.Tehran,Iran, vol. 22(2), pages 409-441, Spring.
    19. Themistocles Kokolakakis & Fernando Lera-Lopez, 2020. "Sport Promotion through Sport Mega-Events. An Analysis for Types of Olympic Sports in London 2012," IJERPH, MDPI, vol. 17(17), pages 1-17, August.
    20. Svensson, Per G. & Andersson, Fredrik O. & Mahoney, Tara Q. & Ha, Jae-Pil, 2020. "Antecedents and outcomes of social innovation: A global study of sport for development and peace organizations," Sport Management Review, Elsevier, vol. 23(4), pages 657-670.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:igg:jssmet:v:13:y:2022:i:1:p:1-16. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Journal Editor (email available below). General contact details of provider: https://www.igi-global.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.