Recommender systems for medicine and music / Zbigniew W. Ras, Alicja Wieczorkowska, Shusaku Tsumoto, editors.
2021
R858
Linked e-resources
Linked Resource
Online Access
Concurrent users
Unlimited
Authorized users
Authorized users
Document Delivery Supplied
Can lend chapters, not whole ebooks
Details
Title
Recommender systems for medicine and music / Zbigniew W. Ras, Alicja Wieczorkowska, Shusaku Tsumoto, editors.
ISBN
9783030664503 (electronic bk.)
3030664503 (electronic bk.)
9783030664480
3030664481
3030664503 (electronic bk.)
9783030664480
3030664481
Published
Cham : Springer, [2021]
Language
English
Description
1 online resource
Item Number
10.1007/978-3-030-66450-3 doi
Call Number
R858
Dewey Decimal Classification
610.285
Summary
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.
Bibliography, etc. Note
Includes bibliographical references.
Access Note
Access limited to authorized users.
Source of Description
Online resource; title from PDF title page (SpringerLink, viewed April 14, 2021).
Series
Studies in computational intelligence ; v. 946. 1860-949X
Available in Other Form
Recommender systems for medicine and music.
Linked Resources
Online Access
Record Appears in
Online Resources > Ebooks
All Resources
All Resources
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.
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.