IDEAS home Printed from https://ideas.repec.org/a/alv/journl/v2y2020i2specialp34-49.html
   My bibliography  Save this article

Effectiveness of Using Modern Artificial Intelligence Applications in Front of Coronavirus: Evidence from South Korean Experience

Author

Listed:
  • Aboubaker Khoualed

    (Faculty of Economics, Commercial and Management Sciences, Annaba University (Algeria))

  • Khayreddine Bouzerb

    (Faculty of Economics, Commercial and Management Sciences, Jijel University (Algeria))

Abstract

COVID-19 is one of the difficult health challenges facing the countries of the world nowadays, and this study tries to clarify the role that artificial intelligence applications play in facing the Coronavirus through studying South Korea's experience in this field. This study was divided into two parts: the first treat theoretical frameworks and modern applications of artificial intelligence in the medical field, and the second deals with the presentation and analysis of the Korean experience. This study recently concluded to the effectiveness of South Korea's experience in confronting the Coronavirus through modern artificial intelligence applications on top of which: the disease detection using algorithms, a tracking system for people infected with the virus via GPS, an intelligent quarantine information system, a remote diagnosis and medication, development of a digital epidemic prevention platform, the robots are used to assist in diagnosis, temperature measurement and sterilizer distribution, the use of drones for sterilization.

Suggested Citation

  • Aboubaker Khoualed & Khayreddine Bouzerb, 2020. "Effectiveness of Using Modern Artificial Intelligence Applications in Front of Coronavirus: Evidence from South Korean Experience," Management & Economics Research Journal, Faculty of Economics, Commercial and Management Sciences, Ziane Achour University of Djelfa, vol. 2(2Special), pages 34-49, june.
  • Handle: RePEc:alv:journl:v:2:y:2020:i:2special:p:34-49
    DOI: 10.48100/merj.v2i2Special.100
    as

    Download full text from publisher

    File URL: https://mer-j.com/merj/index.php/merj/article/view/100
    Download Restriction: no

    File URL: https://libkey.io/10.48100/merj.v2i2Special.100?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    More about this item

    Keywords

    Applications; Artificial Intelligence; Medicine and Health; Virus (COVID-19); South Korea;
    All these keywords.

    JEL classification:

    • I18 - Health, Education, and Welfare - - Health - - - Government Policy; Regulation; Public Health
    • O3 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights

    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:alv:journl:v:2:y:2020:i:2special:p:34-49. 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.

    We have no bibliographic references for this item. You can help adding them by using 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: Chihab Ilimi (email available below). General contact details of provider: https://edirc.repec.org/data/fedjedz.html .

    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.