Decision Support System for Diagnosis and Treatment of Hearing Disorders - The Case of Tinnitus (Paperback, Softcover reprint of the original 1st ed. 2017)

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.

General

Imprint:	Springer International Publishing AG
Country of origin:	Switzerland
Series:	Studies in Computational Intelligence, 685
Release date:	July 2018
First published:	2017
Authors:	Katarzyna A. Tarnowska • Zbigniew W. Ras • Pawel J. Jastreboff
Dimensions:	235 x 155 x 9mm (L x W x T)
Format:	Paperback
Pages:	160
Edition:	Softcover reprint of the original 1st ed. 2017
ISBN-13:	978-3-319-84657-6
Categories:	Books > Medicine > General issues > Medical equipment & techniques > General Books > Computing & IT > Applications of computing > Artificial intelligence > General
LSN:	3-319-84657-4
Barcode:	9783319846576

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