Intelligent System for Diagnosing Tourette Syndrome using Case-based Reasoning
نویسندگان
چکیده
The process of medical diagnosis is always complex. It demands the valuation of multiple interacting factors in the case under examination. The signs and symptoms of the patient are put under the experienced opinion of one or more doctors who propose a corresponding treatment. With the advent of Artificial Intelligence (AI) techniques such as Case-based reasoning (CBR), education of medical subjects has become effective. CBR plays an important role in building intelligent system for disease prognosis and diagnosis. We discuss a CBR-based intelligent system built for diagnosing Tourette syndrome. The results of the proposed system justify its usefulness for diagnosing Tourette syndrome.
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