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Studies in Computational Intelligence

Decision Support System for Diagnosis and Treatment of Hearing Disorders

The Case of Tinnitus

Authors: Tarnowska, Katarzyna, Ras, Zbigniew W., Jastreboff, Pawel J.

  • Describes a recommender system for tinnitus to help physicians diagnose and treat tinnitus patients
     
    Presents an introduction to the topic of tinnitus
     
    Highlights the basic concepts of recommender systems (RS), the current state-of-the-art and their real-world applications in different areas
     
    Focuses on health recommender systems
     
    Proposes a knowledge discovery approach to developing decision support systems 
     
    Presents theoretical concepts and algorithms for rule-based systems, including: decision tables, classification rules, action rule extraction, and meta-actions

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eBook $74.99
price for USA (gross)
  • ISBN 978-3-319-51463-5
  • Digitally watermarked, DRM-free
  • Included format: PDF, EPUB
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover $99.00
price for USA
  • ISBN 978-3-319-51462-8
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
About this book

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.

Reviews

“This book describes in great detail and in a step‐wise fashion how to set up a network for an algorithm based decision-making system for treating tinnitus and assessing the effectiveness of treatment interventions for tinnitus. … This book is most suitable for medical practitioners who have been seeing tinnitus patients in their practice … . This book is geared towards clinicians who are also research-based and interested in taking an analytic and data-driven approach to the treatment of tinnitus.” (JoAnn Shih, Doody's Book Reviews, May, 2017)


Table of contents (11 chapters)

  • Introduction

    Tarnowska, Katarzyna A. (et al.)

    Pages 1-3

  • Tinnitus Treatment as a Problem Area

    Tarnowska, Katarzyna A. (et al.)

    Pages 5-15

  • Recommender Solutions Overview

    Tarnowska, Katarzyna A. (et al.)

    Pages 17-33

  • Knowledge Discovery Approach for Recommendation

    Tarnowska, Katarzyna A. (et al.)

    Pages 35-52

  • RECTIN System Design

    Tarnowska, Katarzyna A. (et al.)

    Pages 53-61

Buy this book

eBook $74.99
price for USA (gross)
  • ISBN 978-3-319-51463-5
  • Digitally watermarked, DRM-free
  • Included format: PDF, EPUB
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover $99.00
price for USA
  • ISBN 978-3-319-51462-8
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
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Bibliographic Information

Bibliographic Information
Book Title
Decision Support System for Diagnosis and Treatment of Hearing Disorders
Book Subtitle
The Case of Tinnitus
Authors
Series Title
Studies in Computational Intelligence
Series Volume
685
Copyright
2017
Publisher
Springer International Publishing
Copyright Holder
Springer International Publishing AG
eBook ISBN
978-3-319-51463-5
DOI
10.1007/978-3-319-51463-5
Hardcover ISBN
978-3-319-51462-8
Series ISSN
1860-949X
Edition Number
1
Number of Pages
X, 160
Number of Illustrations and Tables
33 b/w illustrations
Topics