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Privacy Preserved Heart Disease using SVM

D. Louisa Mary, S. Manimala


Data mining techniques have been applied magnificently in many fields including business, science, the Web, bioinformatics, and on different types of data such as textual, visual, spatial, real-time and sensor data. Medical data is still rich in information but poor in knowledge. There is a lack of effective analysis tools to discover the hidden relationships and trends in medical data obtained from clinical records. This paper reviews the state of the research in art on heart disease diagnosis and prediction. It present an overview of the current research being carried out using the data mining techniques to enhance heart disease diagnosis and prediction using Support Vector Machine (SVM). Results show that this algorithm perform positively high to predict the presence of Coronary Heart Diseases (CHD).


Support Vector Machine, Coronary Heart Diseases.

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