Expert system for COVID-19 diagnosis

Background: Coronavirus is a family of viruses that can cause disease such as severe acute respiratory syndrome (SARS) and Middle East respiratory syndrome (MERS). In 2019, Coronavirus was identified as the cause of the outbreak in China. Therefore, in this paper we will review what the Coronavirus is and explore the symptoms associated with it. Objectives: The main objective of this expert system is to obtain appropriate diagnosis of the disease. Methods: In this paper, the expert system is designed for the ability of doctors to detect and diagnose symptoms of coronavirus, a common symptom of this disease are fever, cough, pneumonia in both lungs and shortness of breath. This system presents the disease symptoms, which day will be recognizing symptoms, survival and spread, favorable conditions and image of this symptoms. Clips and Delphi expert system languages are used for designing and implementing the proposed expert system. Result: The expert system in the diagnosis of Coronavirus disease was assessed by doctors and they were satisfied and accepted with its quality of performance. Conclusions: The expert system is easy for doctors and people have interested in the coronavirus to detect and diagnosis the symptoms that may face this disease.