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 come into existence middle and late age. There is lot that leads to disease. But this paper focus on speech articulation difficulty PD affected people try formulate model behalf three data mining methods. These methods are taken from different domains i.e. tree classifier, statistical classifier support vector machine classifier. Performance these classifiers measured with performance matrices accuracy, sensitivity specificity. So, main tried find out which identified more accurately.