Abstract

The data mining techniques can be primarily used to extract the potentially useful hidden knowledge from the large volume of health care industry databases for predicting the diseases. It is also assist to locate the relationships and patterns among the extracted data. In this paper, detailed survey of various computational techniques used in health care industry for predicting the heart diseases is presented. The issues facing by the computational models are identified while predicting the heart diseases and the same is also presented with future possible research directions.