International Journal of Academic Information Systems Research (IJAISR)   Year: 2019 | Volume: 3 | Issue: 5 | Page No.: 1-8 Silicosis Expert System Diagnosis and Treatment Mohammed Ibraheem El Kahlout, Izzeddin A. Alshawwa, Hosni Qasim El-Mashharawi, Samy S. Abu-Naser Abstract: Background Silicosis (particularly the acute form) is characterized by shortness of breath, cough, fever, and cyanosis (bluish skin). It may often be misdiagnosed as pulmonary edema (fluid in the lungs), pneumonia, or tuberculosis. Silicosis resulted in 46,000 deaths globally in 2013 down from 55,000 deaths in 1990. Objectives The main goal of this expert system is to get the appropriate diagnosis of disease and the correct treatment by presenting suggestions on Silicosis disease to the user by asking about symptoms. Methods SL5 Object Expert System language was used for designing and implementing the proposed expert system. Results The results obtained from the system were evaluated whether the patient was infected with the disease or not through specialists in lung diseases. The results were satisfactory at a very good rate compared to the basic symptoms of the disease.