Analysis of adaptive Neuro–Fuzzy based Expert System for Parkinson’s Disease Diagnosis
نویسندگان
چکیده
The real world Parkinson’s disease (PD) is a chronic progressive neurological disease that affects a small area of nerve cells called neurons in the area of the brain called the substantia nigra. Medical Expert System technique is a solution of this problem. This paper summarizes regarding the classification of Parkinson’s disease by using adaptive neuro-fuzzy inference engines. The learning focuses on the diagnosis of P.D. by using adaptive neuro-fuzzy inference system (ANFIS). The outcome obtained by fuzzy inference system is evaluated. MATLAB toolbox is designed for the simulation of the model. This also confirms that adaptive neuro is a better option in which we use the symptoms of the patient which is suffering from Parkinson’s disease and get a result. General Terms: Expert system, fuzzy logic.
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