International Journal of Science and Research (IJSR)

International Journal of Science and Research (IJSR)
Call for Papers | Fully Refereed | Open Access | Double Blind Peer Reviewed

ISSN: 2319-7064


Downloads: 18

India | Computer Science Engineering | Volume 10 Issue 6, June 2021 | Pages: 314 - 318


Parkinson Disease Detection Using Machine Learning Algorithms

Yatharth Nakul, Ankit Gupta, Hritik Sachdeva

Abstract: Parkinson's disease is a global public health concern. Nerve cells, the building blocks of the nervous system in the brain stop producing when they are damaged. Thus, less dopamine is produced that inhibits motor skills and speech. Voice changes in the first stage before brain cells are affected, hence helps identify Parkinson's disease in the early stages and therefore prevent brain cell damage that can lead to reduced fusion and movement. Introduction of different ML algorithms for classification of Parkinson's disease is presented.

Keywords: Parkinson's Disease, Machine Learning, Computer Science, KNN, SVM, Regression, RF, Decision Tree

How to Cite?: Yatharth Nakul, Ankit Gupta, Hritik Sachdeva, "Parkinson Disease Detection Using Machine Learning Algorithms", Volume 10 Issue 6, June 2021, International Journal of Science and Research (IJSR), Pages: 314-318, https://www.ijsr.net/getabstract.php?paperid=SR21530012948, DOI: https://dx.doi.org/10.21275/SR21530012948


Download Article PDF


Rate This Article!

Received Comments

No approved comments available.


Top