Comprehensive Analysis of Parkinson Disease Prediction using Vocal Parameters

There are lot of neurological disease which affect nervous system but Parkinson disease (PD) is one of the very current neurological disease. There has been a challenge of accurate diagnosis of Parkinson’s Disease largely due to the close association of PD in other neurological diseases. Parkinson’s disorder (PD) is a common neurodegenerative disorder that reasons harm to dopaminergic neurons withinside the Nigrostriatal pathway and launch of Dopamine into the striatum. Machine learning algorithms had been used as a device for predicting and diagnosing diseases. Some of those algorithms have received recognition because of their excessive recognition and overall performance. In PD recognition, research have established the effectiveness of numerous reputation and this systematic overview of the overall performance of machine learning of algorithms. The early stages of Parkinson’s can be predicted using vocal or voice features. This are the frequency parameters which can predict the severity of Parkinsons’. Predict Parkinson’s using person’s vocal parameters.