Parkinsons Disease Prediction

Abstract

Parkinson’s disease is a
neurodegenerative disease which worsens over
time. People have trouble vocally, writing,
strolling, or completing other simple tasks when
dopaminegenerating neurons in parts of the brain
become impaired or expire. These symptoms
worsen over time, increasing the severity of the
condition in patients. We have suggested a
methodology in this article for the prediction of
Parkinson’s disease severity using deep neural
networks on UCI’s Parkinson’s Telemonitoring
Vocal Data Set of patients. We have created a
neural network to predict the severity of the
disease and a machine learning model to detect
the disorder. Classification of Parkinson’s
Disease is done by Neural network, Random
Forest Classifier.