Mining For Actionable Knowledge In Tinnitus Datasets

This chapter describes the application of decision and action rules mining to the problem area of tinnitus treatment and characterization. The chapter presents the process of a Tinnitus Retraining Therapy treatment protocol, which is to be automatized with classification and action rules. The tinnitus dataset collected at Emory University School of Medicine in Atlanta, as well as preprocessing steps performed on the data are described. Next, a series of experiments on association and action rule extraction are presented. Selected outcome rules are listed in a form of medical hypotheses. An analysis and interpretation of sample rules are provided together with their validation in accordance with expert medical knowledge.