An Echocardiogram Diagnosis System based on LDA and Fuzzy C-Mean Unsupervised Classifier

MURAT, KARABATAK (2015) An Echocardiogram Diagnosis System based on LDA and Fuzzy C-Mean Unsupervised Classifier. In: International Conference on Advances in Computing, Control and Networking - ACCN 2015, 21 - 22 February 2015, Hotel Lebua at State Tower.

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Abstract

Today, many people are at risk of heart attack. Echocardiogram imaging techniques, looking at the eye doctors to view patients with heart attack risk is difficult to determine. In this case, the possibility of making an incorrect diagnosis by doctors rises. Recently, many computer-based decision support systems have been developed to decrease wrong diagnosis possibility in the field of echocardiogram. The main purpose of these decision support systems designed to help expert doctors in the field of medical diagnostics. In this study, an echocardiogram diagnostic (ED) based on Linear Discriminant Analysis (LDA) and Fuzzy C-Mean (FCM) clustering algorithm (LDA-FCM-ED) system is presented. This echocardiogram diagnostic based on Linear Discriminant Analysis and Fuzzy C-Mean clustering algorithm system is composed of two stages. First step is the feature extraction and feature reduction stage by using LDA and second step is clustering stage by using FCM unsupervised classifier. In stage of feature reduction, LDA is used to reduce the attributes from 12 to 4. In clustering stage, features obtained in first stage are fed into the FCM unsupervised classifier. The correct diagnosis performance of the LDA-FCM-ED clustering system for diagnosis the echocardiogram is calculated by using classification accuracy, sensitivity and specificity values respectively. The classification accuracy of this LDA-FCM clustering system for diagnosis of the echocardiogram (LDAFCM- ED) was obtained 93.44 %. This result is better than FCM and other existing unsupervised classifier methods.

Item Type: Conference or Workshop Item (Paper)
Uncontrolled Keywords: Linear Discriminant Analysis (LDA), Fuzzy CMean (FCM) unsupervised classifier, Echocardiogram data, confusion matrix
Depositing User: Mr. John Steve
Date Deposited: 09 May 2019 11:06
Last Modified: 09 May 2019 11:06
URI: http://publications.theired.org/id/eprint/2096

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