IJMTES – CARDIO VASCULAR CONDITION CLASSIFICATION BASED ON RISK FACTOR

Journal Title : International Journal of Modern Trends in Engineering and Science

Paper Title : CARDIO VASCULAR CONDITION CLASSIFICATION BASED ON RISK FACTOR

Author’s Name : Vignesh Kumar K | Dr  N Sumathiunnamed

Volume 03 Issue 11 2016

ISSN no:  2348-3121

Page no: 41-45

Abstract – Data mining is the process of analyzing data from perspective and summarizing it into useful information. This technique is used for finding heart diseases. Based on risk factor the heart diseases can predict easily. The main objective of this paper is to evaluate different classification techniques in heart diagnosis. First dataset is to filter from effective non local means filter algorithm. After taking risk factor, dataset is to classify by K-Nearest Neighbor (KNN) and Neural Network (NN).compare to KNN, Neural Network provides better performance. After classification, performance criteria such as accuracy, precision, recall, Fmeasure is to be calculated. The comparison measure shows that Neural Network is the best classifier for heart disease diagnosis on the existing dataset.  

Keywords— Heart diagnosis, Non local means filter (NLM), K-Nearest Neighbor (KNN), Neural Network (NN)

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