Parkinson's disease is a central nervous-system disorder. 90% of people with parkinson disease are reported to have
speech and voice disorders. Vocal folds are normally weakened by this disorder and the patient talks improperly. Various
elements of the speech patterns of healthy people and those with parkinson disease were studied for prediction of parkinson’s
disease. Optimized features affecting the data classification process were then identified using genetic algorithms and the KNN
classification method was used to eventually classify the data based on different numbers of optimized features.
