How much can music listening habits tell us about mental health? An interpretable machine learning benchmark using genre preference and self-reported anxiety, depression, insomnia, and obsessive–compulsive symptoms
Frontiers in Psychology · 2026
Abstract e pubblicazione originale
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Leggi nella fonte originale ↗Parole chiave
music listening behaviormusic genre preferencemental healthdepressionanxietyinsomniaobsessive-compulsive symptomsclass imbalancemodel interpretabilitymusic streamingSHAPrandom forestgradient boostingsupport vector machineelastic netbenchmarkMusic Therapy and HealthArtificial Intelligence in HealthcareMusic and Audio Processing
Come citare questo studio
Yakun Li, Ren Binxin. (2026). How much can music listening habits tell us about mental health? An interpretable machine learning benchmark using genre preference and self-reported anxiety, depression, insomnia, and obsessive–compulsive symptoms. Frontiers in Psychology. DOI: 10.3389/fpsyg.2026.1970053
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