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This book presents a knowledge-discovery-based approach to creating a recommender system that can support physicians treating tinnitus patients with the highly successful tinnitus retraining therapy method. It describes experiments on extracting novel knowledge from the historical dataset on patients treated by Dr. P. Jastreboff so as to better understand the factors behind the therapy's effectiveness and better personalize treatments for different patient profiles. The book is a response to the growing demand for advanced data analytics in the healthcare industry in order to provide better care through data-driven decision-making solutions. The potential economic benefits of applying computerized clinical decision support systems include not only improved efficiency in healthcare delivery (by reducing costs, improving quality of care and patient safety), but also enhanced standardization, objectivity and availability of treatment in settings where expert knowledge on this difficult-to-treat hearing disorder is scarce.