Paper Details

Data mining is the automated process to analyze huge medical databases and then extracting the usefulpatterns. A data mining tool gives answer to complex queries in an accurate manner and takes less time to resolve. Thehuge amounts of medical data related to heart diseases are stored in healthcare databases are too complex and large tobe handled by conventional methods. With the help of data mining techniques it is possible to transform these mounds ofdata into functional information so that it can be used for heart disease diagnosis. Data mining techniques plays a vitalrole for the prediction of heart diseases in an efficient and accurate manner with lesser amount of time. In this paper wepresent survey of different data mining techniques and in particular Decision tree and neural networks used for theprediction of heart diseases. Results are shown how Decision Tree and Neural Networks using various parametersperform

Mujtaba Ashraf Qureshi, Dr, Irshad Ahmad Mir, Tawseef Ahmad, Mohd Iqbal Sheikh, “Prediction of Heart Diseases Using Decision Tree and Neural Network Data Mining Techniques-A Review”, International Journal of Advance Engineering and Research Development (IJAERD), Vol. 5, Issue 13, pp. -, January 2018.