Turkish Journal of Physiotherapy and Rehabilitation; 32(3) ISSN 2651-4451 | e-ISSN 2651-446X ARTIFICIAL INTELLIGENCE AND MACHINE LEARNING APPROACHES TO COVID-19 OUTBREAK : A SURVEY Sowmya H.K1, Jesy Janet Kumari J2, Dr. R. Ch. A. Naidu3, K.Vengatesan4 1,2,3 Department of CSE, The Oxford College of Engineering Bommanahalli, Bangalore-560068 Professor, Computer Engineering, Sanjivani College of Engineering, Kopargaon
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[email protected] ABSTRACT Corona viruses are group of viruses which may cause illness in both animals and humans. A person can easily get COVID-19 from the other people who have the virus. It is a serious disease, which disseminates through tiny water droplets from the nose or mouth, which are thrown out when a COVID-19 infected person coughs, sneezes, or speaks. This disease was first discovered in China and has since spread throughout the world at breakneck speed. At this pandemic time, the entire world should take an adequate and efficient step to analyze the disease and get rid of the effects of this epidemic. The applications of Machine Learning (ML) and Artificial Intelligence (AI) techniques play an important role to detect and predict potential effect of this virus in future by gathering and examining most recent and past data. Furthermore, it can be used in realizing and recommending the enhancement of a vaccine for COVID-19. This paper focuses on reviewing the role of AI and ML approaches used for examining, analyzing, predicting, contact tracking of existing patients and potential patients. Keywords: Corona virus, Machine Learning, Artificial Intelligence, contact tracking, epidemic I.