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January 2017 Issue Vol.7 No.1
Medical Data Classification Using SVM and Neural Network Classifier-A Study
https://archive.org/download//vol7no01/vol7no01.pdf
P.Balamurugan
Assistant Professor,Department of Computer Science,Government Arts College, Coimbatore,Tamil Nadu, India
S.Vanitha
M.Phil Research Scholar,Department of Computer Science,Government Arts College, Coimbatore,Tamil Nadu, India
Abstract:
This paper aimed at study and analyzing the machine learning algorithms and finding out most appropriate
algorithm for medical data classification. In this study, designed a classification system using Neural
Network and Support Vector Machine for medical data classification with various numbers of attributes
and instances. It includes two kinds of classification experiments namely diseased and non-diseased data
distribution from the Cleveland heart disease data set and class distribution of benign and malignant from
the Breast Cancer Wisconsin (Original) Data Set. The experimental outcomes positively demonstrate that the
Neural Network classifier is effective in undertaking medical data classification tasks which are concluded
in the final chapter.
Keywords:Data Mining, Frequency Item Set, Apriori.
