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  1. Jan 14, 2023 · The experiment aims to create a machine-learning model that can predict whether a specific song has therapeutic effects on a specific person. The model considers a person’s musical and emotional characteristics but is also trained to consider solfeggio frequencies.

    • can a machine learning model predict therapeutic efficacy of songs and dance1
    • can a machine learning model predict therapeutic efficacy of songs and dance2
    • can a machine learning model predict therapeutic efficacy of songs and dance3
    • can a machine learning model predict therapeutic efficacy of songs and dance4
  2. Mar 1, 2020 · The resulting decision tree and analysis of this interpretable model makes it possible to find predictive factors that influence therapeutic music listening outcomes. The strong subjectivity of therapeutic music listening suggests the use of machine learning techniques as an important and innovative approach to supporting music therapy practice.

    • Alfredo Raglio, Marcello Imbriani, Chiara Imbriani, Paola Baiardi, Sara Manzoni, Marta Gianotti, Mau...
    • 2020
  3. Jan 14, 2023 · The experiment aims to create a machine-learning model that can predict whether a specific song has therapeutic effects on a specific person. The model considers a person’s musical...

  4. Here, we present a study to establish the main predictive factors of music listening's relaxation effects using machine learning methods. Methods: Three hundred and twenty healthy participants were evenly distributed by age, education level, presence of musical training, and sex.

    • Alfredo Raglio, Marcello Imbriani, Chiara Imbriani, Paola Baiardi, Sara Manzoni, Marta Gianotti, Mau...
    • 2020
  5. Jun 20, 2023 · A logistic regression model trained on neurophysiologic responses for the 1st min of songs correctly classified hits with 77% accuracy and flops with 56% accuracy ( N = 10,000). The bagged machine learning model classified 74% of songs correctly.

    • Sean H. Merritt, Kevin Gaffuri, Paul J. Zak
    • Front Artif Intell. 2023; 6: 1154663.
    • 10.3389/frai.2023.1154663
    • 2023
  6. Oct 1, 2019 · This paper introduces the development of a machine learning powered music therapy platform, SOJO AI, which personalizes therapeutic music sessions based on user feedback and data.

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  8. Nov 19, 2020 · K-Fold Cross Validation was used to assess the estimator. The experiment aims to create a machine-learning model that can predict whether a specific song has therapeutic effects on a...