Call For Paper Volume:9 Issue:5 May'2022 |

Parkison’s Disease Detection using Machine Learning Algorithms a brief review

Publication Date : 07/04/2022

DOI : 10.21884/IJMTER.2022.9002.JMRYE

Author(s) :

Manjunath Patil , S.B.Patil.

Volume/Issue :
Volume 9
Issue 3
(04 - 2022)

Abstract :

Parkinson’s disease (PD) is the second most common neurological disease after Alzheimer’s disease, affecting 2–3% of the population older than 65 years of age. Parkison's disease is a neurological disorder. This disease breaks down the cells in the nervous system. This disease reduces the dopamine level in the brain. Mainly it affects the fore-brain region. It is one of the chronic degenerative diseases with progressive illness, which means it develops new symptoms over time. Parkinson’s disease (PD) is one of the major public health diseases in the world which is progressively increasing day by day and had its effect on many countries. So, it is very important to predict it in the early stage which has been a challenging task among researchers because the symptoms of disease come into existence in either middle or late middle stage. There are different Parkinson’s disease detection techniques are proposed and these depend upon the voice of a person, handwriting, and some techniques are proposed using images. Machine learning algorithms like KNN, Logistic Regression, Decision Tree, and Random Forest shows better prediction about Parkison's disease. In this paper, we have surveyed different Parkison disease detection techniques which depend on with and without machine learning algorithms.

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Parkison’s Disease Detection using Machine Learning Algorithms a brief review

March 4, 2022