Design and Implementation of Fuzzy Expert System for Back pain Diagnosis

Decision support through information technology become a part of our everyday lives. In this paper we produce a Fuzzy Expert System (FES) to diagnosis of back pain disease based on the clinical observation symptoms using fuzzy rules. The clinical observation symptoms which processed by fuzzy expert system may be used fuzzy concepts to describe that symptoms such as (little, medium, high). To deal with fuzzy concepts in clinical observation symptoms we should be used fuzzy rules to hold this concepts. The parameters used as input for this fuzzy expert system were Body Mass Index (BMI), age, and gender of patient as well as the clinical observation symptoms. The proposed expert system can help to diagnosis of back pain disease and produce medical advice to the patient. The system implemented and tested using clinical data that is correspond to 20 patients with different back pain diseases. The proposed system implemented using Visual Prolog programming language ver. 7.1.

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