Using speech data, it is difficult to learn through machine learning how diagnose Parkinson's disease (PD) and evaluate the effects of treatment. For this issue, article has developed a three-stage PD discovery method. The base classifiers used in initial stage are logistic regression (LR), K-nearest neighbor (KNN), naive bayes (NB), support vector (SVC), decision tree (DT). second stage, or st...