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Recommender systems for medicine and...
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Ras, Zbigniew W.
Recommender systems for medicine and music
Record Type:
Electronic resources : Monograph/item
Title/Author:
Recommender systems for medicine and musicedited by Zbigniew W. Ras, Alicja Wieczorkowska, Shusaku Tsumoto.
other author:
Ras, Zbigniew W.
Published:
Cham :Springer International Publishing :2021.
Description:
xvi, 236 p. :ill., digital ;24 cm.
Contained By:
Springer Nature eBook
Subject:
Medical informatics.
Online resource:
https://doi.org/10.1007/978-3-030-66450-3
ISBN:
9783030664503$q(electronic bk.)
Recommender systems for medicine and music
Recommender systems for medicine and music
[electronic resource] /edited by Zbigniew W. Ras, Alicja Wieczorkowska, Shusaku Tsumoto. - Cham :Springer International Publishing :2021. - xvi, 236 p. :ill., digital ;24 cm. - Studies in computational intelligence,v.9461860-949X ;. - Studies in computational intelligence ;v. 216..
Recommender Systems in Healthcare -- Personalizing Patients to Enable Shared Decision Making -- Repeated Listens in the Music Discovery Process -- Body Data for Music Information Retrieval Tasks -- Music and Healthcare Recommendation Systems.
Music recommendation systems are becoming more and more popular. The increasing amount of personal data left by users on social media contributes to more accurate inference of the user's musical preferences and the same to quality of personalized systems. Health recommendation systems have become indispensable tools in decision making processes in the healthcare sector. Their main objective is to ensure the availability of valuable information at the right time by ensuring information quality, trustworthiness, authentication, and privacy concerns. Medical doctors deal with various kinds of diseases in which the music therapy helps to improve symptoms. Listening to music may improve heart rate, respiratory rate, and blood pressure in people with heart disease. Sound healing therapy uses aspects of music to improve physical and emotional health and well-being. The book presents a variety of approaches useful to create recommendation systems in healthcare, music, and in music therapy.
ISBN: 9783030664503$q(electronic bk.)
Standard No.: 10.1007/978-3-030-66450-3doiSubjects--Topical Terms:
196487
Medical informatics.
LC Class. No.: R858 / .R436 2021
Dewey Class. No.: 610.285
Recommender systems for medicine and music
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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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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.
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Intelligent Technologies and Robotics (SpringerNature-42732)
based on 0 review(s)
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電子館藏
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1 records • Pages 1 •
1
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000000196607
電子館藏
1圖書
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EB R858 .R311 2021 2021
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1 records • Pages 1 •
1
Multimedia
Multimedia file
https://doi.org/10.1007/978-3-030-66450-3
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