Assessing environmental determinants of subjective well-being via machine learning approaches: a systematic review.

Understanding the determinants of subjective well-being (SWB) is crucial for advancing social sciences, particularly in relation to environmental and social factors. Machine learning (ML) techniques have gained popularity in SWB research, yet there is limited synthesis of their current implementatio...

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Publicado en:	Humanities & Social Sciences Communications Vol. 12; no. 1; pp. 1 - 16
Autores principales:	Yang, Min, Zou, Yuxuan
Formato:	Artículo
Publicado:	Springer Nature 6/17/2025
Materias:	Artificial neural networks Subjective well-being (Psychology) Random forest algorithms Social factors Well-being
Acceso en línea:	Ver este registro en EBSCOhost