Hashem Hashemi - Department of Computer Science and Engineering, Shiraz University, Shiraz, Iran
Hossein Alizadeh Moghaddam - Department of Computer Science and Engineering, Shiraz University, Shiraz, Iran
Pegah Keyvan - Department of Computer Science and Engineering, Shiraz University, Shiraz, Iran
Shahram Jafari - Department of Computer Science and Engineering, Shiraz University, Shiraz, Iran

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. Our goal was to design an expert system which could be useful for physicians to produce more accurate prescriptions for polyuria patients. In our paper, we first studied the logical rules that were needed to produce a prescription for polyuria patients and represented them in an antecedent/consequent model of rules that were capable of being used in an expert system. Afterwards we used a powerful expert system tool, CLIPS, to implement our proposed expert system and discussed parts and fundamentals of our expert system that were designed based on the studied rules. Since our expert system produced its prescription based on strict medical science instructions, our goal was to make the system be able to cooperate with physicians’ experiences on polyuria patients. Further in our paper, we used the double-blind technique to evaluate our proposed expert system and compared its results with alternatives (physicians).

Artificial Intelligence, Expert System, CLIPS, Polyuria, Prescription