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Decision support system for diagnosi...

Jastreboff, Pawel J.

Decision support system for diagnosis and treatment of hearing disordersthe case of tinnitus /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Decision support system for diagnosis and treatment of hearing disordersby Katarzyna A. Tarnowska, Zbigniew W. Ras, Pawel J. Jastreboff.
Reminder of title:	the case of tinnitus /
Author:	Tarnowska, Katarzyna A.
other author:	Ras, Zbigniew W.
Published:	Cham :Springer International Publishing :2017.
Description:	x, 160 p. :ill., digital ;24 cm.
Contained By:	Springer eBooks
Subject:	TinnitusTreatment.
Online resource:	http://dx.doi.org/10.1007/978-3-319-51463-5
ISBN:	9783319514635$q(electronic bk.)

Decision support system for diagnosis and treatment of hearing disordersthe case of tinnitus /
Tarnowska, Katarzyna A.

Decision support system for diagnosis and treatment of hearing disordersthe case of tinnitus /[electronic resource] :by Katarzyna A. Tarnowska, Zbigniew W. Ras, Pawel J. Jastreboff. - Cham :Springer International Publishing :2017. - x, 160 p. :ill., digital ;24 cm. - Studies in computational intelligence,v.6851860-949X ;. - Studies in computational intelligence ;v. 216..

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.

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.

ISBN: 9783319514635$q(electronic bk.)

Standard No.: 10.1007/978-3-319-51463-5doiSubjects--Topical Terms:

510003
Tinnitus
--Treatment.

LC Class. No.: RF293.8

Dewey Class. No.: 617.806

Decision support system for diagnosis and treatment of hearing disordersthe case of tinnitus /
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245 1 0 $a Decision support system for diagnosis and treatment of hearing disorders $h [electronic resource] : $b the case of tinnitus / $c by Katarzyna A. Tarnowska, Zbigniew W. Ras, Pawel J. Jastreboff.
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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.
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.
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