Statistical Insights into the Influence of Music on Mental Health
Xinyi Zhang
2025
Abstract
Mental Health has recently become a heated topic among the public, ranging from biologists seeking for pathological cause to psychologists who attempts to improve the dilemma. In this paper, a comprehensive set of methods such as descriptive analysis, logistic regression, random forest and XGBoost will be adopted to analyse the dataset from Kaggle and establish the relationship between music and mental health as well, with an aim to provide some evidence on the effect of music therapy, an emerging curing method. By comparing the figure of the Root Mean Squared Error (RMSE), it can be concluded that logistic regression performs the best among these models in predicting mental health states. Nevertheless, the actual figures of RMSE still suggest room for improvement. For future related experiments, significant improvements can be done by increasing the volume of samples, perfecting data filtration, adding more variables and further refining parameters of the model. After all, this research provides empirical evidence for the application of music therapy by using statistical models while at the same time offering keen insights for further improvements.
DownloadPaper Citation
in Harvard Style
Zhang X. (2025). Statistical Insights into the Influence of Music on Mental Health. In Proceedings of the 2nd International Conference on Innovations in Applied Mathematics, Physics, and Astronomy - Volume 1: IAMPA; ISBN 978-989-758-774-0, SciTePress, pages 413-418. DOI: 10.5220/0013826900004708
in Bibtex Style
@conference{iampa25,
author={Xinyi Zhang},
title={Statistical Insights into the Influence of Music on Mental Health},
booktitle={Proceedings of the 2nd International Conference on Innovations in Applied Mathematics, Physics, and Astronomy - Volume 1: IAMPA},
year={2025},
pages={413-418},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0013826900004708},
isbn={978-989-758-774-0},
}
in EndNote Style
TY - CONF
JO - Proceedings of the 2nd International Conference on Innovations in Applied Mathematics, Physics, and Astronomy - Volume 1: IAMPA
TI - Statistical Insights into the Influence of Music on Mental Health
SN - 978-989-758-774-0
AU - Zhang X.
PY - 2025
SP - 413
EP - 418
DO - 10.5220/0013826900004708
PB - SciTePress