The Healthcare industry generally clinical diagnosis is done mostly by doctor's expertise and experience. Computer Aided Decision Support System plays a major role in medical field. With the growing research on heart disease predicting system, it has become important to categories the research outcomes and provides readers with an overview of the existing heart disease prediction techniques in each category. Neural Networks are one of many data mining analytical tools that can be utilized to make predictions for medical data. From the study it is observed that Hybrid Intelligent Algorithm improves the accuracy of the heart disease prediction system. The commonly used techniques for Heart Disease Prediction and their complexities are summarized in this paper.
R. Chitra and V. Seenivasagam REF have proposed a growing research on heart disease predicting system, that has been become important to categories the research outcomes and provides readers with an overview of the existing heart disease prediction techniques in each category.
Review of Heart Disease Prediction System Using Data Mining and Hybrid Intelligent Techniques
SOCO 2013
Computer Science