Machine Learning Models for Detection COVID-19

In December 2019 an infectious disease called coronavirus has started in Wuhan (China) and was widely spread in various countries. Then WHO declared coronavirus as a global pandimic and annouced the name COVID19. And the Internationnal Commitee on Taxonomy of Viruses (ICTV) declared the new name of the virus as severe acute respiratory syndrome coronavirus 2 (SARS-COV-2) With the new virus spreading around the world, tests were a necessity in hospitals, but the limited testing kits available in these constitutions created a serious problem. So systems to automate the testing process were created to help doctors detect the infected patients; And so, many machine-learning applications have been implemented. Our topic in this article is going to be about the different methods of machine learning and we propose an approach’s applied to detect, predict or diagnose COVID-19.