Classification of the pre-exam anxiety levels in physically inactive students from 48 countries: application of the K-means clustering machine learning algorithm.

Encarnação, Samuel; Monteiro, A.M.; Sampaio, Tatiana; Vaz, Paula Marisa Fortunato; Forte, Pedro

http://hdl.handle.net/10198/29058

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Authors

Encarnação, Samuel

Monteiro, A.M.

Sampaio, Tatiana

Vaz, Paula Marisa Fortunato

Forte, Pedro

Abstract(s)

Physical inactivity is a behavioral factor that is strongly associated with anxiety symptoms in children and adolescents. Anxiety is a disabling condition that reduces academic performance (Kandola et al., 2020).

Keywords

Mental health K-means clustering Physical inactivity Artificial intelligence Academic performance Research Subject Categories::SOCIAL SCIENCES Research Subject Categories::MEDICINE

URI

http://hdl.handle.net/10198/29058

Citation

Encarnação, S., Monteiro, A. M., Sampaio, T., Vaz, P. M., Forte, P. M. (2023). Classification of the pre-exam anxiety levels in physically inactive students from 48 countries: application of the K-means clustering machine learning algorithm. In I Congresso Internacional de Bem-estar e Saúde Mental no Ensino Superior. Bragança: Instituto Politécnico