Multi-Class Classifier in Parkinson’s Disease Using an Evolutionary Multi-Objective Optimization Algorithm

Multi-Class Classifier in Parkinson’s Disease Using an Evolutionary Multi-Objective Optimization Algorithm

In this contribution, a novel methodology for multi-class classification in the field of Parkinson’s disease is proposed. The methodology is structured in two phases. In a first phase, the most relevant volumes of interest (VOI) of the brain are selected by means of an evolutionary multi-objective o...

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Bibliographic Details
Main Authors: Ignacio Rojas-Valenzuela, Olga Valenzuela, Elvira Delgado-Marquez, Fernando Rojas
Format: Article
Language:English
Published: MDPI AG 2022-03-01
Series:Applied Sciences
Subjects:
Parkinson’s disease (PD)
3D-discrete wavelet transform (3D-DWT)
support vector machine (SVM)
multi-objective optimization evolutionary algorithm (MOE)
minimum redundancy maximum relevance (mRMR)
Online Access:https://www.mdpi.com/2076-3417/12/6/3048

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https://www.mdpi.com/2076-3417/12/6/3048

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