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
1. Verfasser:	Yılmaz, Ersen
Format:	Artikel
Sprache:	eng
Schlagworte:	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
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