Medical Data mining is the search for relationships and patterns within the medical data that could provide useful knowledge for effective medical diagnosis. The predictability of disease will become more effective and early detection of disease will aid in increased exposure to required patient care and improved cure rates using computational applications. Review shows that the reasons for feature selection include improvement in performance prediction, reduction in computational requirements, reduction in data storage requirements, reduction in the cost of future measurements and improvement in data or model understanding.