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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
Format: Artigo
Sprog:Inglês
Udgivet: BMC 2025-12-01
Serier:BMC Psychology
Fag:
Subjective well-being
Happiness
Life satisfaction
University students
Machine learning
Feature importance
Online adgang:https://doi.org/10.1186/s40359-025-03809-3
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