A review on effectiveness of artificial intelligence techniques in the detection of COVID-19

Abstract

The Corona virus Disease 2019 (COVID-19) is an epidemic and life threatening disease that has an abundant influence on the public health of people all around the world affecting their normal day to day life. The medical monitoring of the infected patients reveals various symptoms that can be analysed, classified and the output can help the physicians to treat the new cases. In this paper we have done an extensive research of the various Machine Learning(ML) and Deep Learning (DL) algorithms employed by the researchers and health workers over the COVID-19 data obtained from the affected patients in the classification of the disease. This extensive analysis will help the future analysts to consider the effective technique that can provide them faster results during both the phases of training and inference. We have given a comparative analysis of the various ML/DL techniques employed for COVID-19 and its remarks.