A fast approach for detection of erythemato-squamous diseases based on extreme learning machine with maximum relevance minimum redundancy feature selection-Reference-Cited by-同舟云学术

A fast approach for detection of erythemato-squamous diseases based on extreme learning machine with maximum relevance minimum redundancy feature selection

Published:2013-05-28 Issue:5 Volume:46 Page:919-931
ISSN:0020-7721
Container-title:International Journal of Systems Science
language:en
Short-container-title:International Journal of Systems Science

Author:

Liu Tong,Hu Liang,Ma Chao,Wang Zhi-Yan,Chen Hui-Ling

Publisher

Informa UK Limited

Subject

Computer Science Applications,Theoretical Computer Science,Control and Systems Engineering

Link

http://www.tandfonline.com/doi/pdf/10.1080/00207721.2013.801096

Reference36 articles.

1. Automatic detection of erythemato-squamous diseases using PSO–SVM based on association rules

2. A two-stage gene selection scheme utilizing MRMR filter and GA wrapper

3. An efficient diagnosis system for detection of Parkinson’s disease using fuzzy k-nearest neighbor approach

4. A new hybrid method based on local fisher discriminant analysis and support vector machines for hepatitis disease diagnosis

5. A support vector machine classifier with rough set-based feature selection for breast cancer diagnosis

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