Document Type : Primary Research paper
Assistant Professor, Department of computer Science and Engineering Bannari Amman Institute of Technology, Sathyamangalam TamilNadu, India.
Data mining is a means of processing and converting information from various
points of view into usable knowledge. This technique is used to detect cardiovascular
disease. The risk factor can be used to easily classify cardiac conditions. The main purpose
is to evaluate multiple testing approaches for cardiac disease. The next item is the planning
and preprocessing of the dataset of core numbers. Properties classified by machine
learning must be identified after the extract. Artificial learning promises increased
efficiency compared to current ones. Quality parameters like accuracy, precision and Fmeasurement
have to be determined after classification. The machine learning produces
better performance. Decision tree is the required diagnostics description of cardiac disease
in the current dataset, as calculated in comparative measures.