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Recommender Systems for Medicine and Music / edited by Zbigniew W. Ras, Alicja Wieczorkowska, Shusaku Tsumoto.

Contributor(s): Ras, Zbigniew W, editor literario | Wieczorkowska, Alicja, editor literario | Tsumoto, Shusaku, editor literario
Series: (Studies in Computational Intelligence, 1860-9503; 946); (Intelligent Technologies and Robotics (SpringerNature-42732)); (Intelligent Technologies and Robotics (R0) (SpringerNature-43728)).Publisher: Cham : Springer International Pulishing, 2021Edition: First edition 2021.Description: 1 recurso en línea (XVI, 236 páginas) : 60 ilustraciones, 33 ilustraciones a color.ISBN: 9783030664503.Subject: Informática médicaOnline resources: Acceso a este recurso digital (usuarios Universidad Europea de Madrid)Digital Resources
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.
Abstract: 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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Holdings
Item type Current library Collection Call number Status Date due Barcode Item holds
LIBRO-E NO PRÉSTAMO LIBRO-E NO PRÉSTAMO Madrid Digital Acceso Electrónico (UEM) Ciencias e Ingeniería R858 2021 EB (Browse shelf(Opens below)) Acceso electrónico eBook.23122077
Total holds: 0

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.

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