Heart disease diagnosis has become a difficult task in the field of medical research. This conclusion is depends on a patient clinical test data on the health history of an individual. Presently multi day's human services industry has create enormous measure of clinical information about patients and other emergency clinic assets. Data mining systems are utilized to break down this prosperous data information accumulation from alternate points of view and inferring helpful data information. In this proposed work the quantity of analysis has been led to look at the presentation of different prescient data mining methods incorporating with various Artificial Neural Networks algorithms. As per our result of Multi Layer Perceptron Neural Network has produced 95.39 %, Sensitivity 97.84 %, Specificity 97.17 % and Precision & Recall 94.78 %. Our experiment is shows that out of seven different Artificial Neural Network (ANN) algorithms in the Multi Layer Perceptron predict heart disease with highest accuracy.
Volume 11 | 06-Special Issue
Pages: 850-856