A Proficient Model for Detecting Parkinson's Disease using Machine Learning Techniques

Abstract

Numerous people around the world are affected by various diseases and one such is Parkinson's Disease. Parkinson's Disease (PD) is a progressive neurodegenerative campaign illness impacting more than ten million individuals anywhere. However, there's presently absolutely no definitive check for PD by non-specialist clinicians, particularly within the first condition phases in which the signs might be delicate also inadequately recognized. This creates an impressive misdiagnosis pace (up to 25% by nonspecialists), as well as individuals,who are able to possess the condition for a long time before analysis. There's a dependence on a precise, unbiased way of earlier detection, preferably one that could be utilized by people in the home setting of theirs.