ABSTRACT
COVID-19 since its discovery and spread have caused major disruption in the regular operation of the industries, schools, universities, business, and hospitals and eventually to the national economy of many countries. It is a highly contagious disease and spreading among communities at a very fast pace. Early detection of COVID-19 infected patients and quarantining them are few possible measures to restrict its spread. Persons infected by COVID-19 demonstrate many symptoms. However, these symptoms are somewhat similar to some of the common diseases like a common cold, viral fever, and body ache which we generally face in our day-to-day life. Hence, most of the medical experts confuse COVID-19 with some very common diseases, and when the actual cause is known by that time the situation becomes worse. In this light, this study proposed a new concept based on soft computing techniques to determine the exact symptoms responsible for COVID-19. © 2022, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.