Discriminating parkinson and healthy people using machine learning

Abstract

Parkinson's is a disease which affects at central nervous system of human body and it is popularly known as neuro degenerative disease. We have taken a classification method were mainly focused on speech signal for detection of parkinson's disease because speech is the only deciding factor for earlier stage of the disease identification. Here the ensemble technique is used for classification. Ensemble is method of combining multiple models like classifiers or experts to solve a particular computation.In proposed technique with help of speech signal it is easy to distinguish between diseased and non diseased person. Here we are using vowels, number and words from the speech signal in classifiers then how the signal involved in that technique are discussed.