Effectiveness of Using Modern Artificial Intelligence Applications in Front of Coronavirus: Evidence from South Korean Experience-Reference-Cited by-同舟云学术

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

Published:2020-06-10 Issue:2Special Volume:2 Page:34-49
ISSN:2710-8856
Container-title:Management & Economics Research Journal
language:
Short-container-title:MERJ

Author:

Khoualed Aboubaker,Bouzerb Khayreddine

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.

Publisher

Management & Economics Research Journal, Ziane Achour University of Djelfa

Subject

General Medicine

Reference40 articles.

1. Caferra, R . (2011). Logique pour l’informatique et pour l’intelligence artificielle, Hermes Sciences Publications, Paris, France.

2. Elflein, J. (2020 a). COVID-19 cases, recoveries, deaths among most impacted countries as of April 30, 2020, Statista, New York, USA, www.statista.com/statistics/1105235/coronavirus-19-cases-recoveries-deaths-most-affected-countries-worldwide/, consulted: 01/05/2020.

3. Elflein, J. (2020 b). Number of (COVID-19) confirmed and death cases in South Korea from January 20 to April 30, 2020, Statista, New York, USA, www.statista.com/statistics/1098721/south-korea-coronavirus-confirmed-and-death-number/, consulted: 01/05/2020.

4. Elflein J. (2020 C). COVID-19 deaths worldwide as of April 30, 2020, Statista, New York, USA, www.statista.com/statistics/1093256/novel-coronavirus-2019-ncov-deaths-worldwide-by-country/, consulted: 01/05/2020.

5. Lisboa, P. J. Tatak A F. (2006). The use of artificial neural networks in decision support in cancer: a systematic review, Neural Networks, Vol. (19), No. (04), pp 408-415.