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Optimization of Support Vector Machines for Prediction of Parkinson’s Disease Cover

Optimization of Support Vector Machines for Prediction of Parkinson’s Disease

Measurement Science Review
Volume 23 (2023): Issue 1 (February 2023)
By: Turgut Özseven and  Zübeyir Şükrü Özkorucu  
Open Access
|Mar 2023
Authors

Authors

Turgut Özseven

turgut.ozseven@gop.edu.tr

Department of Computer Engineering, Tokat Gaziosmanpasa University, Tokat, Turkey

Zübeyir Şükrü Özkorucu

zubeyirozkorucu@gmail.com

Department of Mechatronic Engineering, Tokat Gaziosmanpasa University, Tokat, Turkey
DOI: https://doi.org/10.2478/msr-2023-0001 | Journal eISSN: 1335-8871
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Language: English
Page range: 1 - 10
Submitted on: Mar 14, 2022
Accepted on: Feb 2, 2023
Published on: Mar 7, 2023
Published by: Slovak Academy of Sciences, Institute of Measurement Science
In partnership with: Paradigm Publishing Services
Publication frequency: Volume open
Keywords:
Support vector machines,
Parameter optimization,
Classification,
Parkinson’s disease,
machine learning,
acoustic analysis
Related subjects:
Engineering,
Electrical engineering,
Control engineering, metrology and testing

© 2023 Turgut Özseven, Zübeyir Şükrü Özkorucu, published by Slovak Academy of Sciences, Institute of Measurement Science
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

Volume 23 (2023): Issue 1 (February 2023)
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