An Expert System Based on Fisher Score and LS-SVM for Cardiac Arrhythmia Diagnosis


Yilmaz E.

COMPUTATIONAL AND MATHEMATICAL METHODS IN MEDICINE, 2013 (Peer-Reviewed Journal) identifier identifier identifier

  • Publication Type: Article / Article
  • Volume:
  • Publication Date: 2013
  • Doi Number: 10.1155/2013/849674
  • Journal Name: COMPUTATIONAL AND MATHEMATICAL METHODS IN MEDICINE
  • Journal Indexes: Science Citation Index Expanded, Scopus

Abstract

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.