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Recommender systems for medicine and...

Ras, Zbigniew W.

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Recommender systems for medicine and music

Record Type:	Electronic resources : Monograph/item
Title/Author:	Recommender systems for medicine and music/ edited 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.
[NT 15003449]:	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.
Contained By:	Springer Nature eBook
Subject:	Medical informatics. -
Online resource:	https://doi.org/10.1007/978-3-030-66450-3
ISBN:	9783030664503

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.946..

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

Standard No.: 10.1007/978-3-030-66450-3doiSubjects--Topical Terms:

661258
Medical informatics.

LC Class. No.: R858 / .R436 2021

Dewey Class. No.: 610.285

Recommender systems for medicine and music
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490 1 $a Studies in computational intelligence, $x 1860-949X ; $v v.946
505 0 $a 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.
520 $a 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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650 0 $a Music $x Data processing. $3 666503
650 0 $a Recommender systems (Information filtering) $3 1002434
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650 2 4 $a Health Informatics. $3 892928
700 1 $a Ras, Zbigniew W. $3 1066699
700 1 $a Wieczorkowska, Alicja. $3 3494524
700 1 $a Tsumoto, Shusaku. $3 892926
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