The Role of Machine Learning in COVID-19 in Medical Domain: A Survey

Abstract

COVID-19 or coronavirus is a very dangerous disease that is affected directly to the lungs and has been killed. COVID-19 is a medium-sized virus that is a single structured RNA. For the medication process of this COVID-19, the X-rays or the CT (Commutated Tomography) scan were used for identifying the level of attack of the human body. Identifying and monitoring the COVID-19 diagnosis images were leftover as the challenging task. So for these diagnosis purposes and to overcome the human errors the concepts such as Artificial Intelligence and Machine Learning were started using in medical sensing mechanism due to several advantages such as less time consuming, quick decision, easy to see the condition of the person, etc., over traditional methods. There are different mechanisms such as feature selection, feature extraction; classification was going on research in this context. Moreover, how the research is going on and the benefits of this domain, and future research works in this domain were discussed in this paper.