Prediction of Heart Disease Based on Decision Trees
Journal Title: International Journal for Research in Applied Science and Engineering Technology (IJRASET) - Year 2017, Vol 5, Issue 5
Abstract
The prediction of heart disease is most complicated task in the field of medical sciences which cannot be observed with a naked eye and comes instantly anywhere, anytime. So there arises a need to develop a decision support system for detecting heart disease. A heart disease prediction model using data mining technique, called decision tree algorithm which helps medical practitioners in detecting the disease based on the patient’s clinical data. In this project, we propose an efficient decision tree algorithm technique for heart disease prediction. To achieve correct and cost effective treatment computer-based systems can be developed to make good decision. . Data mining is a powerful new technology for the extraction of hidden predictive and actionable information from large databases, the main objective of this project is to develop a prototype which can determine and extract unknown knowledge (patterns and relations) related with heart disease from a past heart disease database record. It can solve complicated queries for detecting heart disease and thus assist medical practitioners to make smart clinical decisions.
Authors and Affiliations
Lakshmishree J, K Paramesha
Keywords
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