Association analysis of diabetes mellitus (DM) with complication states based on association rules

Abstract

Currently data mining techniques and health/medical informatics are still new. Data mining researchers start paying more attention on these matters. Association Rule is one of important methods in data mining. By discovering data association, new useful information can be obtained. In this paper, a researcher has presented a basic method of discovering an association of diabetes mellitus with complication states by applying gender, age and occupation factors and testing to find out a relationship of diagnostic data. The primary objective is to provide a useful medical and healthcare information that can be applied for a treatment of elderly-adult patients, an improvement of healthcare service including a provision of practical instruction for diabetes patients without complications.