HEART DISEASE PREDICTION USING K-MEANS CLUSTERING TECHNIQUE
HEART DISEASE PREDICTION ABSTRACT The data mining algorithms are dedicated to probe the hidden, new patterns and collective relations from the enormous datasets. In this proposal K- means Clustering data mining algorithm is dedicated to splitt or cluster the patient heart condition to test whether his/her heart normal or stressed or highly stressed. If we apply the K- means clustering algorithm on complex dataset, the output results of clustering are difficulty to gauge and to retrieve the required results from these clusters. Thus, one more data mining algorithm, the decision tree, is used for the interpretation of the clusters of the K-means algorithm. In this work, integration of K-means clustering algorithm with the decision tree algorithm is aimed. Also, another learning technique such as Support Vector Machine (SVM) and Logistics regression is used. Heart disease prediction results from SVM and Logistics regression were compared. Keywords: K-means clustering; da...