Why the study?
Does an expert system based on Fisher score and LS-SVM accurately diagnose cardiac arrhythmia?
Does an expert system based on Fisher score and LS-SVM accurately diagnose cardiac arrhythmia?
A proposed expert system using Fisher score for feature selection and LS-SVM for classification aims to diagnose cardiac arrhythmias.
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May support automated arrhythmia detection; leaves open prospective clinical validation before any practice change.
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.
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Ersen Yılmaz (2013) studied this question.
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