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A Hybrid Classification System for Heart Disease Diagnosis Based on the RFRS Method
Joint Authors
Liu, Xiao
Wang, Xiaoli
Su, Qiang
Zhang, Mo
Zhu, Yanhong
Wang, Qiugen
Wang, Qian
Source
Computational and Mathematical Methods in Medicine
Issue
Vol. 2017, Issue 2017 (31 Dec. 2017), pp.1-11, 11 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2017-01-03
Country of Publication
Egypt
No. of Pages
11
Main Subjects
Abstract EN
Heart disease is one of the most common diseases in the world.
The objective of this study is to aid the diagnosis of heart disease using a hybrid classification system based on the ReliefF and Rough Set (RFRS) method.
The proposed system contains two subsystems: the RFRS feature selection system and a classification system with an ensemble classifier.
The first system includes three stages: (i) data discretization, (ii) feature extraction using the ReliefF algorithm, and (iii) feature reduction using the heuristic Rough Set reduction algorithm that we developed.
In the second system, an ensemble classifier is proposed based on the C4.5 classifier.
The Statlog (Heart) dataset, obtained from the UCI database, was used for experiments.
A maximum classification accuracy of 92.59% was achieved according to a jackknife cross-validation scheme.
The results demonstrate that the performance of the proposed system is superior to the performances of previously reported classification techniques.
American Psychological Association (APA)
Liu, Xiao& Wang, Xiaoli& Su, Qiang& Zhang, Mo& Zhu, Yanhong& Wang, Qiugen…[et al.]. 2017. A Hybrid Classification System for Heart Disease Diagnosis Based on the RFRS Method. Computational and Mathematical Methods in Medicine،Vol. 2017, no. 2017, pp.1-11.
https://search.emarefa.net/detail/BIM-1142355
Modern Language Association (MLA)
Liu, Xiao…[et al.]. A Hybrid Classification System for Heart Disease Diagnosis Based on the RFRS Method. Computational and Mathematical Methods in Medicine No. 2017 (2017), pp.1-11.
https://search.emarefa.net/detail/BIM-1142355
American Medical Association (AMA)
Liu, Xiao& Wang, Xiaoli& Su, Qiang& Zhang, Mo& Zhu, Yanhong& Wang, Qiugen…[et al.]. A Hybrid Classification System for Heart Disease Diagnosis Based on the RFRS Method. Computational and Mathematical Methods in Medicine. 2017. Vol. 2017, no. 2017, pp.1-11.
https://search.emarefa.net/detail/BIM-1142355
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1142355