Recommender Systems for Medicine and Music

1. Auflage 2021
ISBN: 978-3-030-66448-0
Verlag: Springer International Publishing

Buch, Englisch, Band 946, 236 Seiten, HC runder Rücken kaschiert, Format (B × H): 160 mm x 241 mm, Gewicht: 547 g

Reihe: Studies in Computational Intelligence

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.

Zielgruppe

Research

Autoren/Hrsg.

Ras, Zbigniew W.

Tsumoto, Shusaku

Wieczorkowska, Alicja

Fachgebiete

• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz
• Geisteswissenschaften Musikwissenschaft Musikwissenschaft Allgemein
• Medizin | Veterinärmedizin Medizin | Public Health | Pharmazie | Zahnmedizin Medizin, Gesundheitswesen Medizinische Mathematik & Informatik

Inhaltsverzeichnis

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.