Recommender Systems for Medicine and Music

Author:   Zbigniew W. Ras ,  Alicja Wieczorkowska ,  Shusaku Tsumoto
Publisher:   Springer Nature Switzerland AG
Edition:   1st ed. 2021
Volume:   946
ISBN:  

9783030664480


Pages:   236
Publication Date:   08 April 2021
Format:   Hardback
Availability:   Manufactured on demand   Availability explained
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Recommender Systems for Medicine and Music


Overview

Music recommendation systems are becoming more and more popular. The increasing amount of personal data left by users on social media contributes to more accurate inference of the user’s musical preferences and the same to quality of personalized systems. Health recommendation systems have become indispensable tools in decision making processes in the healthcare sector. Their main objective is to ensure the availability of valuable information at the right time by ensuring information quality, trustworthiness, authentication, and privacy concerns. Medical doctors deal with various kinds of diseases in which the music therapy helps to improve symptoms. Listening to music may improve heart rate, respiratory rate, and blood pressure in people with heart disease. Sound healing therapy uses aspects of music to improve physical and emotional health and well-being. The book presents a variety of approaches useful to create recommendation systems in healthcare, music, and in music therapy.

Full Product Details

Author:   Zbigniew W. Ras ,  Alicja Wieczorkowska ,  Shusaku Tsumoto
Publisher:   Springer Nature Switzerland AG
Imprint:   Springer Nature Switzerland AG
Edition:   1st ed. 2021
Volume:   946
Weight:   0.547kg
ISBN:  

9783030664480


ISBN 10:   3030664481
Pages:   236
Publication Date:   08 April 2021
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Hardback
Publisher's Status:   Active
Availability:   Manufactured on demand   Availability explained
We will order this item for you from a manufactured on demand supplier.

Table of Contents

Recommender Systems in Healthcare.- Personalizing Patients to Enable Shared Decision Making.- Repeated Listens in the Music Discovery Process.- Body Data for Music Information Retrieval Tasks.- Music and Healthcare Recommendation Systems.

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NOV RG 20252

 

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