Decision Support System for Diagnosis and Treatment of Hearing Disorders: The Case of Tinnitus

by Katarzyna A. Tarnowska, Zbigniew W. Ras, Pawel J. Jastreboff

Overview

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.

Product Details

ISBN-13:	9783319846576
Publisher:	Springer International Publishing
Publication date:	07/20/2018
Series:	Studies in Computational Intelligence , #685
Edition description:	Softcover reprint of the original 1st ed. 2017
Pages:	160
Product dimensions:	6.10(w) x 9.25(h) x (d)

Table of Contents

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.

Editorial 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)

From the Publisher

Reviewer: JoAnn Shih, MMS (Northwestern University Feinberg School of Medicine)
Description: 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.
Purpose: The purpose is to demonstrate the concept of developing decision support systems and the use of algorithms for rule-based systems in the context of treating such a difficult disorder.
Audience: This book is most suitable for medical practitioners who have been seeing tinnitus patients in their practice and are interested in implementing such a systematic approach for decision making.
Features: One tinnitus treatment method, tinnitus retraining therapy, is highlighted, but readers should not expect a broad medical overview of the diagnosis and treatment of tinnitus. The book also reviews the potential utility of setting up a database not only for developing decision support systems, but also for meta-analysis of information and determining the effectiveness of treatment using collected data.
Assessment: 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.

Doody's Review Service