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

Encarnação, SamuelMonteiro, A.M.Sampaio, TatianaVaz, Paula Marisa FortunatoForte, Pedro2024-01-032024-01-032023Encarnação, 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 Politécnicohttp://hdl.handle.net/10198/29058Physical 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).engMental healthK-means clusteringPhysical inactivityArtificial intelligenceAcademic performanceResearch Subject Categories::SOCIAL SCIENCESResearch Subject Categories::MEDICINEClassification of the pre-exam anxiety levels in physically inactive students from 48 countries: application of the K-means clustering machine learning algorithm.conference poster