PREDICTION AND ANALYSIS OF CARDIOVASCULAR DISEASE WITH NEURAL NETWORK ALGORITHM

In the medical and health world it is very necessary to predict one of his cardiovascular diseases in patients. On this occasion, there were 220 datasets used in the study and 220 attributes. Prediction is done by using a neural network algorithm. Then do a calculation using Rapidminer from the cardiovascular disease dataset. The dataset will be predicted and analyzed with two trials at Rapidminer to determine the optimal level of prediction. The results of the first trial at Rapidminer are 68.81% accuracy with a prescription value of 65.85%, 79.41% recall and, AUC value of 0.745 and the second trial result is 77.27% accuracy, with a precision value of 77.14%, 79.41% recall and, AUC value of 0.764