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A hybrid decision support system based on rough set and extreme learning machine for diagnosis of hepatitis disease.

Authors :
Kaya, Yılmaz
Uyar, Murat
Source :
Applied Soft Computing; Aug2013, Vol. 13 Issue 8, p3429-3438, 10p
Publication Year :
2013

Abstract

Highlights: [•] A hybrid model of RS and ELM methods was proposed. [•] Feature selection has been carried out without removing missing values in the data set. [•] RS+ELM model was determined as 100.00% success rate. [•] It is considered that the proposed method will be useful in similar medical practices. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
15684946
Volume :
13
Issue :
8
Database :
Supplemental Index
Journal :
Applied Soft Computing
Publication Type :
Academic Journal
Accession number :
89116994
Full Text :
https://doi.org/10.1016/j.asoc.2013.03.008