Machine Learning-Based Prediction of Mental Well-Being Using Health Behavior Data from University Students

Background: Since the onset of the COVID-19 pandemic in early 2020, the importance of timely and effective assessment of mental well-being has increased dramatically. Machine learning (ML) algorithms and artificial intelligence (AI) techniques can be harnessed for early detection, prognostication an...

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Detalles Bibliográficos
Autores principales: Abdul Rahman, Hanif, Kwicklis, Madeline, Ottom, Mohammad, Amornsriwatanakul, Areekul, H. Abdul-Mumin, Khadizah, Rosenberg, Michael, Dinov, Ivo D.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10215693/
https://www.ncbi.nlm.nih.gov/pubmed/37237644
http://dx.doi.org/10.3390/bioengineering10050575

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10215693/
https://www.ncbi.nlm.nih.gov/pubmed/37237644
http://dx.doi.org/10.3390/bioengineering10050575

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