Enhancing happiness and life satisfaction in university students: analysis with a machine learning approach

Abstract Background Subjective well-being (SWB) is vital for the personal growth of university students. Machine learning approach have been increasingly used in identifying SWB predictors for their ability to capture complex and multidimensional predictors. Still, the feature selection is not often...

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Principais autores:	Qing Long, Yuning Wang, Anna Axelin, Feng Zheng, Zeng Cao, Xiaotian Li, Jia Guo
Formato:	Artigo
Idioma:	Inglês
Publicado:	BMC 2025-12-01
Series:	BMC Psychology
Assuntos:	Subjective well-being Happiness Life satisfaction University students Machine learning Feature importance
Acceso en liña:	https://doi.org/10.1186/s40359-025-03809-3
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