An Efficient Diagnosis System for Parkinson's Disease Using Kernel-Based Extreme Learning Machine with Subtractive Clustering Features Weighting Approach

A novel hybrid method named SCFW-KELM, which integrates effective subtractive clustering features weighting and a fast classifier kernel-based extreme learning machine (KELM), has been introduced for the diagnosis of PD. In the proposed method, SCFW is used as a data preprocessing tool, which aims a...

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Detalles Bibliográficos
Autores principales: Ma, Chao, Ouyang, Jihong, Chen, Hui-Ling, Zhao, Xue-Hua
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi Publishing Corporation 2014
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4251425/
https://www.ncbi.nlm.nih.gov/pubmed/25484912
http://dx.doi.org/10.1155/2014/985789

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4251425/
https://www.ncbi.nlm.nih.gov/pubmed/25484912
http://dx.doi.org/10.1155/2014/985789

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