Diagnosis of Parkinson’s Disorder through Speech Data using Machine Learning Algorithms

Parkinson's disease is a neurodegenerative disorder that affects millions of people around the globe. Detecting Parkinson's disease at an earlier stage could help to better diagnose the disease. Machine learning provides potentially large opportunities for computer-aided identification and...

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Bibliographic Details
Published inInternational journal of innovative technology and exploring engineering Vol. 9; no. 3; pp. 69 - 72
Main Authors M. S., Abhishek, C. R., Chethan, C. R., Aditya, D, Divitha, T. R, Nagaraju
Format Journal Article
LanguageEnglish
Published 30.01.2020
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Summary:Parkinson's disease is a neurodegenerative disorder that affects millions of people around the globe. Detecting Parkinson's disease at an earlier stage could help to better diagnose the disease. Machine learning provides potentially large opportunities for computer-aided identification and diagnosis that could minimize unavoidable health care errors and inherent clinical uncertainty, provide guidance, and improve decision-making. In this paper, we explore the feature extraction and prediction algorithms used to predict Parkinson's disease and provide a comprehensive comparison of these algorithms.
ISSN:2278-3075
2278-3075
DOI:10.35940/ijitee.C8060.019320