Comparison of different classification techniques for the discrimination of patients with pathologies of Parkinson

This paper presents a brief description of the application of the technique of support-vector machines in order to classify patients with pathologies of Parkinson's disease from voice samples. The problem of linear classification and the case of non-linear classification are addressed, for whic...

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Bibliographic Details
Published in:Journal of physics. Conference series 2019-11, Vol.1403 (1), p.12007
Main Authors: Devia Narváez, D, Ospina, R
Format: Article
Language:English
Subjects:
Classification
Hyperplanes
Kernel functions
Parkinson's disease
Physics
Support vector machines
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Summary:This paper presents a brief description of the application of the technique of support-vector machines in order to classify patients with pathologies of Parkinson's disease from voice samples. The problem of linear classification and the case of non-linear classification are addressed, for which the Kernel functions will be used in order to transform the input space into a space of greater dimensionality where it can be classified by means of a hyperplane.
ISSN:1742-6588
1742-6596
DOI:10.1088/1742-6596/1403/1/012007