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Machine learning techniques to predict the effectiveness of music therapy: A randomized controlled trial

Raglio, Alfredo
•
Imbriani, Marcello
•
Imbriani, Chiara
altro
Manzoni, Luca
2020
  • journal article

Periodico
COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE
Abstract
The literature shows the effectiveness of music listening, but which factors and what types of music produce therapeutic effects, as well as how music therapists can select music, remain unclear. Here, we present a study to establish the main predictive factors of music listening's relaxation effects using machine learning methods.
DOI
10.1016/j.cmpb.2019.105160
WOS
WOS:000514184200024
Archivio
http://hdl.handle.net/11368/2953347
info:eu-repo/semantics/altIdentifier/scopus/2-s2.0-85074451949
https://www.sciencedirect.com/science/article/pii/S0169260719301555
Diritti
open access
license:copyright editore
license:creative commons
license uri:http://creativecommons.org/licenses/by-nc-nd/4.0/
FVG url
https://arts.units.it/request-item?handle=11368/2953347
Soggetti
  • Decision tree method

  • Machine learning tech...

  • Medicine

  • Therapeutic music lis...

  • Therapeutic predictiv...

Web of Science© citazioni
15
Data di acquisizione
Mar 20, 2024
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