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Decision Support System for Diagnosis and Treatment of Hearing Disorders

The Case of Tinnitus

  • Katarzyna A. Tarnowska
  • Zbigniew W. Ras
  • Pawel J. Jastreboff

Part of the Studies in Computational Intelligence book series (SCI, volume 685)

Table of contents

  1. Front Matter
    Pages i-x
  2. Katarzyna A. Tarnowska, Zbigniew W. Ras, Pawel J. Jastreboff
    Pages 1-3
  3. Katarzyna A. Tarnowska, Zbigniew W. Ras, Pawel J. Jastreboff
    Pages 5-15
  4. Katarzyna A. Tarnowska, Zbigniew W. Ras, Pawel J. Jastreboff
    Pages 17-33
  5. Katarzyna A. Tarnowska, Zbigniew W. Ras, Pawel J. Jastreboff
    Pages 35-52
  6. Katarzyna A. Tarnowska, Zbigniew W. Ras, Pawel J. Jastreboff
    Pages 53-61
  7. Katarzyna A. Tarnowska, Zbigniew W. Ras, Pawel J. Jastreboff
    Pages 63-78
  8. Katarzyna A. Tarnowska, Zbigniew W. Ras, Pawel J. Jastreboff
    Pages 79-98
  9. Katarzyna A. Tarnowska, Zbigniew W. Ras, Pawel J. Jastreboff
    Pages 99-120
  10. Katarzyna A. Tarnowska, Zbigniew W. Ras, Pawel J. Jastreboff
    Pages 121-135
  11. Katarzyna A. Tarnowska, Zbigniew W. Ras, Pawel J. Jastreboff
    Pages 137-147
  12. Katarzyna A. Tarnowska, Zbigniew W. Ras, Pawel J. Jastreboff
    Pages 149-151
  13. Back Matter
    Pages 153-160

About this book

Introduction

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.

Keywords

Tinnitus Diagnosis Recommender System Health Recommender System Recommender System for Tinnitus Tinnitus Treatment RECTIN Computational Intelligence

Authors and affiliations

  • Katarzyna A. Tarnowska
    • 1
  • Zbigniew W. Ras
    • 2
  • Pawel J. Jastreboff
    • 3
  1. 1.Department of Computer ScienceUniversity of North Carolina at CharlotteCharlotteUSA
  2. 2.Department of Computer ScienceUniversity of North Carolina at CharlotteCharlotteUSA
  3. 3.Department of OtolaryngologyEmory University School of MedicineAtlantaUSA

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-319-51463-5
  • Copyright Information Springer International Publishing AG 2017
  • Publisher Name Springer, Cham
  • eBook Packages Engineering
  • Print ISBN 978-3-319-51462-8
  • Online ISBN 978-3-319-51463-5
  • Series Print ISSN 1860-949X
  • Series Online ISSN 1860-9503
  • Buy this book on publisher's site