Information Technology offer health care industry
significant potential to improve productivity and quality of patient care. The
area of Data mining in health care is growing rapidly because of strong need
for analyzing the vast amount of clinical data bases stored in hospitals. The
huge amounts of data generated by healthcare transactions are too complex and
voluminous to be processed and analyzed by traditional methods. Data mining
provides the methodology and technology to transform these volumes of data into
useful information for decision making. In this paper ,the potential use of
classification based data mining techniques such as Decision tree, Naïve Bayes
are applied to massive volume of healthcare data.Experimental results predicts
the hearthattack results for efficient decision making purpose.