Open Access Open Access  Restricted Access Subscription or Fee Access

Intelligent classification of Heart Disease using Neighboring Support Vector Classifier

Mohammed Ngadi, Aouatif Amine, Bouchra Nassih, Hanaa Hachimi, Adnane El-Attar


This paper proposes a new algorithm in order to improve the classification phase of medical images analysis to detect Heart Disease.our algorithms, the Neighboring Support Vector Classifier NSVC, is a new supervised learning algorithm with better performances in medical diagnosis. The approach consists on the combination different classifiers from different families (unsupervised classification: Fuzzy C-Means and supervised: SVM). The application
of this algorithm on two well-known real data sets allow us to validate the method and show its interest in the context of image based medical diagnosis. The best accuracy obtained are 98,5% for SPECT Heart data set and 97.41% for Statlog Heart Data set. Many experiments are performed to confirm the robustness of NSVC using different datasets.


Supervised Classification, NSVC, K-means, SVM, Heart Disease

Full Text:


Disclaimer/Regarding indexing issue:

We have provided the online access of all issues and papers to the indexing agencies (as given on journal web site). It’s depend on indexing agencies when, how and what manner they can index or not. Hence, we like to inform that on the basis of earlier indexing, we can’t predict the today or future indexing policy of third party (i.e. indexing agencies) as they have right to discontinue any journal at any time without prior information to the journal. So, please neither sends any question nor expects any answer from us on the behalf of third party i.e. indexing agencies.Hence, we will not issue any certificate or letter for indexing issue. Our role is just to provide the online access to them. So we do properly this and one can visit indexing agencies website to get the authentic information. Also: DOI is paid service which provided by a third party. We never mentioned that we go for this for our any journal. However, journal have no objection if author go directly for this paid DOI service.