The main purpose of data mining application in health care system is to develop an automated tool for identifying and disseminating relevant healthcare information. The objective of our system to provide a prediction of disease depending on symptoms so as to take proactive treatment against the disease. The system would reduce the human effort, reduce cost and time constraint in terms of human resources and expertise, and increase the diagnostic accuracy. In most developing countries, insufficiency of medical specialist has increased the mortality of patients suffering from various diseases. Insufficiency of medical specialists will never be overcome in short period of time. The main idea of the project is to assist doctors, who fail to detect fatal diseases. The intelligent doctor will accept symptoms of the patient. The symptoms and the databases are matched to produce a list of diseases and sufferings with their probabilities. We have used Apriori and Frequent Pattern Growth algorithm for predicting the disease for given set symptoms. The whole process can be termed as KDD.