The book presents a knowledge discovery based approach to build a recommender system supporting
a physician in treating tinnitus patients with the highly successful method called Tinnitus
Retraining Therapy.It describes experiments on extracting novel knowledge from the historical
dataset of patients treated by Dr. P. Jastreboff so that to better understand factors behind
therapy's effectiveness and better personalize treatments for different profiles of
patients.The book is a response for a growing demand of an advanced data analytics in the
healthcare industry in order to provide better care with the data driven decision-making
solutions.The potential economic benefits of applying computerized clinical decision support
systems include not only improved efficiency in health care delivery (by reducing costs
improving quality of care and patient safety) but also enhancement in treatment's
standardization objectivity and availability in places of scarce expert's knowledge on this
difficult to treat hearing disorder.Furthermore described approach could be used in assessment
of the clinical effectiveness of evidence-based intervention of various proposed treatments for
tinnitus.
