Provide an algorithm to diagnose heart disease using data mining techniques

At the beginning of twentieth century ,11 percent of all deaths were caused by cardiovascular diseases and at the end of this century ,deaths from heart disease increased to 22 percent and given the current trend it is predicted 32 to 01 percent of deaths in the world be caused by cardiovascular diseases till 2122.In this research we present an algorithm to promote predicting and diagnosing heart diseases using data mining techniques. For this purpose, we have discussed to analyze and compare different ways of classification like decision tree algorithms C5.2, CHAID and Naive bays ,with respect to the accuracy value of each algorithm , find a suitable algorithm to improve the accuracy of prediction of heart disease. To this, important and affective parameters for diagnosing and predicting of heart disease must be predetermined and tried to present a model for diagnosing and predicting heart disease in my activity. After choosing a suitable algorithm and classification data which diagnose heart disease with 97.12 accuracy, this value of accuracy is remarkable in itself

کلیدواژه ها:

data mining ، classification ، decision tree ، diagnosing heart diseases