Decision Support System for Diagnosis and Treatment of Hearing Disorders, 1st ed. 2017 The Case of Tinnitus Studies in Computational Intelligence Series, Vol. 685
Langue : Anglais
Auteurs : Tarnowska Katarzyna A., Ras Zbigniew W., Jastreboff Pawel J.
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.
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.
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
Includes supplementary material: sn.pub/extras
Date de parution : 07-2018
Ouvrage de 160 p.
15.5x23.5 cm
Date de parution : 03-2017
Ouvrage de 160 p.
15.5x23.5 cm
Thème de Decision Support System for Diagnosis and Treatment of... :
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