Decision support system for diagnosis and treatment of hearing disorders : the case of tinnitus

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 patien...

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Bibliographic Details
Main Authors: Tarnowska, Katarzyna A., (Author), Ras, Zbigniew, (Author), Jastreboff, Pawel J., (Author)
Format: eBook
Language: English
Published: Cham : Springer, 2017.
Series: Studies in computational intelligence ; v. 685.
Subjects:
ISBN: 9783319514635
9783319514628
9783319514642
9783319846576
Physical Description: 1 online resource

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020 |z 9783319846576  |q (print) 
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100 1 |a Tarnowska, Katarzyna A.,  |e author. 
245 1 0 |a Decision support system for diagnosis and treatment of hearing disorders :  |b the case of tinnitus /  |c Katarzyna A. Tarnowska, Zbigniew W. Ras, Pawel J. Jastreboff. 
264 1 |a Cham :  |b Springer,  |c 2017. 
300 |a 1 online resource 
336 |a text  |b txt  |2 rdacontent 
337 |a počítač  |b c  |2 rdamedia 
338 |a online zdroj  |b cr  |2 rdacarrier 
490 1 |a Studies in computational intelligence ;  |v volume 685 
506 |a Plný text je dostupný pouze z IP adres počítačů Univerzity Tomáše Bati ve Zlíně nebo vzdáleným přístupem pro zaměstnance a studenty 
520 |a 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. 
504 |a Includes bibliographical references. 
505 0 |a Preface -- Introduction -- Tinnitus treatment as a problem area -- Recommender solutions overview -- Knowledge discovery approach for recommendation -- RECTIN system design -- Experiment 1: classifiers -- Experiment 2: diagnostic rules -- Experiment 3: treatment rules -- Experiment 4: treatment rules enhancement -- RECTIN implementation -- Final conclusions and future work -- References. 
590 |a SpringerLink  |b Springer Complete eBooks 
650 0 |a Tinnitus  |x Treatment. 
650 0 |a Recommender systems (Information filtering) 
650 0 |a Decision support systems. 
650 0 |a Medical informatics. 
650 0 |a Computational intelligence. 
655 7 |a elektronické knihy  |7 fd186907  |2 czenas 
655 9 |a electronic books  |2 eczenas 
700 1 |a Ras, Zbigniew,  |e author. 
700 1 |a Jastreboff, Pawel J.,  |e author. 
776 0 8 |i Print version:  |a Tarnowska, Katarzyna A.  |t Decision support system for diagnosis and treatment of hearing disorders.  |d Cham : Springer, 2017  |z 3319514628  |z 9783319514628  |w (OCoLC)964383684 
830 0 |a Studies in computational intelligence ;  |v v. 685. 
856 4 0 |u https://proxy.k.utb.cz/login?url=https://link.springer.com/10.1007/978-3-319-51463-5  |y Plný text 
992 |c NTK-SpringerENG 
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