A Novel Method for Prediction of Cardiovascular Disease using Fuzzy and Data Mining

Abstract

Data mining is an interdisciplinary research field, which combines the latest research achievements such as statistics, data warehousing, information retrieval, machine learning, artificial intelligence, high performance computing, and data visualization. Data mining techniques are to analyze and dig out data useful information and knowledge from the mass data to guide people’s practices, which is changing the use patterns of data with a new concept. This paper intends to use data mining Classification Modeling Techniques, namely, KNN, SVM, NB and Artificial Neural Network, along with weighted association Apriori algorithm in heart disease prediction Apriori algorithm is a recursive method based on set theory, whose purpose to find out association rule with support and confidence of minimum threshold from the database.