Predication of Parkinson's disease using data mining methods: a comparative analysis of tree, statistical, and support vector machine classifiers.

摘要: The prediction of Parkinson's disease in early age has been challenging task among researchers, because the symptoms came into existence middle and late age. There are lots that lead to disease. But this article focuses on speech articulation difficulty PD affected people try formulate model behalf three data mining methods. These methods taken from different domains i.e., tree classifier, statistical support vector machine classifier. Performance these classifiers is measured with performance matrices accuracy, sensitivity, specificity. Hence, main tried find out which identified more accurately.