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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...
The discovery of knowledge from medical databases is important in order to make effective medical diagnosis. The aim of data mining is extract the information from database and generate clear and understandable description of patterns. In this study we have introduced a new approach to generate association rules on numeric data. We propose a modified equal width binning interval approach to discretizing...
This research paper uses association rules and classification techniques to extract undiscovered information of diabetes. Previous phase of this research included the preliminary results of some undiscovered decision factors and side effects of diabetes, by considering diabetes type 1 and type 2 patients' data set. Advanced and reliable data mining techniques are used throughout this research to the...
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