Now a days, diseases have become one of the major causes of human death. To reduce this rising growth of medical
problems, data mining techniques have been popularized on higher scale. It has potentially enhanced the clinical decisions and
survival time of patients. But choosing appropriate data mining technique is the main task because accuracy is the main issue.
The paper presents an overview of the decision tree technique with its medical aspects of Disease Prediction. Major objective is
to evaluate decision tree technique in clinical and health care applications to develop accurate decisions. It uses already existing
data in different databases to transform it into new research and accurate results.
