COVID-19 Fuzzy Inference System

Abstract

The Coronavirus COVID-19 has been considered a pandemic due to its rapid spread increasing the number of affected cases and causing severe health issues and deaths all over the world. Meanwhile no particular treatment or vaccination has been identified for this disease, and therefore, the initial and early identification is crucial to control and break down the chain of COVID-19. In this research, a smart fuzzy inference system is proposed for initial identification of COVID-19 based on the patient symptoms and travel and contact history. The symptoms include cold, cough, fever, flu, breathing difficulties, throat pain and headache. Based on a particular patient data, the proposed system predicts the severity level of the disease that he/she has.