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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| Veröffentlicht in: | Computational and mathematical methods in medicine 2013-01, Vol.2013 (2013), p.1-6 |
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| container_title | Computational and mathematical methods in medicine |
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| creator | Yılmaz, Ersen |
| 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. |
| doi_str_mv | 10.1155/2013/849674 |
| format | Article |
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| ispartof | Computational and mathematical methods in medicine, 2013-01, Vol.2013 (2013), p.1-6 |
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| language | eng |
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| source | MEDLINE; Wiley Online Library Open Access; EZB-FREE-00999 freely available EZB journals; PubMed Central; Alma/SFX Local Collection; PubMed Central Open Access |
| subjects | Algorithms Arrhythmias, Cardiac - diagnosis Artificial Intelligence Computational Biology Databases, Factual - statistics & numerical data Diagnosis, Computer-Assisted - statistics & numerical data Electrocardiography - statistics & numerical data Expert Systems Humans Least-Squares Analysis Support Vector Machine |
| title | An Expert System Based on Fisher Score and LS-SVM for Cardiac Arrhythmia Diagnosis |
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