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An Expert System Based on Fisher Score and LS-SVM for Cardiac Arrhythmia Diagnosis
An expert system having two stages is proposed for cardiac arrhythmia diagnosis. In the first stage, Fisher score is used for feature selection to reduce the feature space dimension of a data set. The second stage is classification stage in which least squares support vector machines classifier is p...
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Hindawi Publishing Corporation
2013
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3703880/ https://www.ncbi.nlm.nih.gov/pubmed/23861726 http://dx.doi.org/10.1155/2013/849674 |
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author | Yılmaz, Ersen |
author_facet | Yılmaz, Ersen |
author_sort | Yılmaz, Ersen |
collection | PubMed |
description | An expert system having two stages is proposed for cardiac arrhythmia diagnosis. In the first stage, Fisher score is used for feature selection to reduce the feature space dimension of a data set. The second stage is classification stage in which least squares support vector machines classifier is performed by using the feature subset selected in the first stage to diagnose cardiac arrhythmia. Performance of the proposed expert system is evaluated by using an arrhythmia data set which is taken from UCI machine learning repository. |
format | Online Article Text |
id | pubmed-3703880 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2013 |
publisher | Hindawi Publishing Corporation |
record_format | MEDLINE/PubMed |
spelling | pubmed-37038802013-07-16 An Expert System Based on Fisher Score and LS-SVM for Cardiac Arrhythmia Diagnosis Yılmaz, Ersen Comput Math Methods Med Research Article An expert system having two stages is proposed for cardiac arrhythmia diagnosis. In the first stage, Fisher score is used for feature selection to reduce the feature space dimension of a data set. The second stage is classification stage in which least squares support vector machines classifier is performed by using the feature subset selected in the first stage to diagnose cardiac arrhythmia. Performance of the proposed expert system is evaluated by using an arrhythmia data set which is taken from UCI machine learning repository. Hindawi Publishing Corporation 2013 2013-06-19 /pmc/articles/PMC3703880/ /pubmed/23861726 http://dx.doi.org/10.1155/2013/849674 Text en Copyright © 2013 Ersen Yılmaz. https://creativecommons.org/licenses/by/3.0/ This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Research Article Yılmaz, Ersen An Expert System Based on Fisher Score and LS-SVM for Cardiac Arrhythmia Diagnosis |
title | An Expert System Based on Fisher Score and LS-SVM for Cardiac Arrhythmia Diagnosis |
title_full | An Expert System Based on Fisher Score and LS-SVM for Cardiac Arrhythmia Diagnosis |
title_fullStr | An Expert System Based on Fisher Score and LS-SVM for Cardiac Arrhythmia Diagnosis |
title_full_unstemmed | An Expert System Based on Fisher Score and LS-SVM for Cardiac Arrhythmia Diagnosis |
title_short | An Expert System Based on Fisher Score and LS-SVM for Cardiac Arrhythmia Diagnosis |
title_sort | expert system based on fisher score and ls-svm for cardiac arrhythmia diagnosis |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3703880/ https://www.ncbi.nlm.nih.gov/pubmed/23861726 http://dx.doi.org/10.1155/2013/849674 |
work_keys_str_mv | AT yılmazersen anexpertsystembasedonfisherscoreandlssvmforcardiacarrhythmiadiagnosis AT yılmazersen expertsystembasedonfisherscoreandlssvmforcardiacarrhythmiadiagnosis |