Early COVID-19 quarantine: A machine learning approach to model what differentiated the top 25% well-being scorers

This study focused on the interaction of demographics and well-being. Diener's subjective well-being (SWB) was successfully validated with Exploratory Graph Analysis and Confirmatory Factor Analysis to track well-being differences of the COVID-19 quarantined individuals. Six tree-based Machine...

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Detalles Bibliográficos
Autores principales: Kyriazos, Theodoros, Galanakis, Michalis, Karakasidou, Eirini, Stalikas, Anastassios
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier Ltd. 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9711521/
https://www.ncbi.nlm.nih.gov/pubmed/36471777
http://dx.doi.org/10.1016/j.paid.2021.110980

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9711521/
https://www.ncbi.nlm.nih.gov/pubmed/36471777
http://dx.doi.org/10.1016/j.paid.2021.110980

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