Analysis of Heart Disease using in Data Mining Tools Orange and Weka

Abstract

Health care is an inevitable task to be done in human life Health concern business has become a notable field in the wide spread area of medical science Health care industry contains large amount of data and hidden information Effective decisions are made with this hidden information by applying patient however with data mining these tests could be reduced But there is a lack of analyzing tool according to provide effective test outcomes together with the hidden information so and such system is developed using data mining algorithms for classifying the data and to detect the heart diseases Data mining acts so a solution by many healthcare problems Na ve Bayes SVM Random Forest KNN algorithm is one such data mining method which serves with the diagnosis regarding heart diseases patient This paper analyzes few parameters and predicts heart diseases thereby suggests a heart diseases prediction system HDPS based total on the data mining approaches