Michael Gr. Voskoglou^1*, Abdel-Badeeh M. Salem²

Abstract

The article focuses on the potential role of Probability Theory and Artificial Intelligence in the battle against the pandemic of COVID-19, which, starting from China on December 2019, has created a chaos in the world economy and the lives of people, causing hundreds of thousands of deaths until now. After discussing the importance of the reproduction number Ro of the viruses, the Bayesian Probabilities are used for measuring the creditability of the diagnostic tests for the novel coronavirus. Artificial Intelligence designs are also described which are used as tools against COVID-19 and a Case-Based Reasoning expert system is proposed for the COVID-19 diagnosis.

Keywords

COVID-19; reproduction number Ro; Bayesian probabilities; Artificial Intelligence (AI);  Expert System (ES); Machine Learning (ML); Case-Based Reasoning (CBR)

Cite This Article

 Michael Gr. Voskoglou, Abdel-Badeeh M. Salem.(2020).Bayesian Reasoning and Artificial Intelligence against COVID-19.International Journal of Scientific Advances (IJSCIA), Volume 1| Issue 1: Jul-Aug 2020, Pages 74-78, URL: https://www.ijscia.com/wp-content/uploads/2020/08/Volume1-Issue-1-Jul-Aug-2020-No.-11-74-78.pdf

publication In

Volume 1 | Issue 1: Jul-Aug 2020