Applying rule-based classification techniques to medical databases: an empirical study

Abstract

In the process of analysing and interpreting medical data, various classification techniques have been widely applied with a lot of success.A number of classification algorithms are available for this purpose and many researchers face the problem of choosing the best method for a particular dataset.In this paper, we apply five well-known, rule-based classification techniques on different medical datasets and compare their relative merits and demerits.Subsequently, we interpret their applicability in classifying patients into groups.