Application of CLIPS Expert System in Polyuria Diagnosis

An expert system is a computer application that simulates the reasoning skill and performance of a human or an organization that has expert knowledge and experience in a specific area. Classically, such a system covers a knowledge base containing gathered experience and a list of rules for applying the knowledge base to each certain situation that is defined to the program. Usual expert systems can be improved with additions to the knowledge base or to the set of rules.Considering the ability of expert systems and their advantages compare to humans experts for such reasons that human experts may not be available everywhere or it might be costly to visit them and the fact that a non-irritating symptoms as polyuria may not be considered as a dangerous sign most of the time while diagnosing it could be a great help to prevent or stop the growth amount of dangerous diseases such as Water intoxication, nephrogenic, diabetes insipid us, polycystic kidney disease, Sickle cell disease, Pyelonephritis, Amyloidosis, Sjogren syndrome, Myeloma and Etc. Our goal was to propose an expert system designed by an expert system tool, CLIPS, to be able to use its inference engine to help diagnose polyuria patients and then publish a list of diagnosed diseases and their probabilities. Later on, we will use the double-blind technique to evaluate our proposed system and compare its results with real physicians.

Keywords:

Expert System , Diagnosis , Clip , , Polyuria