Selecting Classifiers for Medical Data Analysis

Abstract

Applying data mining algorithms for knowledge discovery is being done in almost all domains but particularly in medical and healthcare domain it is still a challenge. Health issues are a major concern in the current world. Massive amount of high dimensional data is generated across the medical organizations. To discover knowledge for building efficient healthcare systems data mining algorithms play a crucial role. We have applied selected Decision tree classification algorithms for performing medical data analysis which is important in medical sector. We suggest appropriateness of the selected algorithms to the specific disease data.