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.
- DOI
- 10.3389/fpsyg.2026.1970053
- Published
- 2026
- Container
- Frontiers in psychology
- Publisher
- Not recorded
- Open access
- yes
Credibility signals
limited evidence Score 45/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.
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Cite this work
BibTeX
@article{allodium:10.3389/fpsyg.2026.1970053,
title = {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.},
author = {Li Y and Ren B},
year = {2026},
journal = {Frontiers in psychology},
doi = {10.3389/fpsyg.2026.1970053},
url = {https://doi.org/10.3389/fpsyg.2026.1970053}
}RIS
TY - JOUR TI - 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. AU - Li Y AU - Ren B PY - 2026 JO - Frontiers in psychology DO - 10.3389/fpsyg.2026.1970053 UR - https://doi.org/10.3389/fpsyg.2026.1970053 ER -
APA
Y, L., & B, R. (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. https://doi.org/10.3389/fpsyg.2026.1970053
Source records
- pubmed · retrieved 2026-11-10T18:11:06.715Z