Determining COVID-19 Severity with Fuzzy Inference System

The pandemic caused by a new variation of Coronavirus, called COVID-19, has caused a universal crisis infecting all the countries around the world and affecting people's lives in health, economic, social, cultural, political, and other matters, making it an urgent global challenge. One of the problems that the health care system is confronting while encountering the COVID-19 patients is determining the severity level of their disease and consequently choosing the proper COVID-19 treatment guideline and method for them. Due to an existing uncertainty in determining the disease severity by the specialist physicians, it could be of significant help to use artificial intelligence-based techniques; therefore, it could be an acceptable solution to use Fuzzy systems based applications, as they proved to be good functional in facing uncertainty problems. As a result, a Fuzzy system based on clinical data is presented in this paper to categorize the COVID-19 patients based on the severity of their illness so that the right kind of treatment is served on time. The resultsdriven from the comparison between the mentioned system and the diagnostics of physicians in a 300 sample database shows about 95.3% accuracy.