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The power of self-love: an artificial neural network based on neuroscience inference to predict university students self-reported mental health dimensions

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Detalhes bibliográficos
Resumo:Student mental health is a global goal, first because it is health we are talking about and secondly because it has implications in the quality of learning and, consequently, in the adequate preparation of professionals for society. The ANN presented excellent learning performance (> 90%) for all targeted variables, within reasonable to good generalization capacity (60-73%). Finally, the university student’s depressive state was the best-predicted variable (73%).
Autores principais:Fortunato, Álvaro
Outros Autores:Encarnação, Samuel; Vaz, Paula Marisa Fortunato; Vaz, Filipe J.A.; Monteiro, A.M.
Assunto:Research Subject Categories::SOCIAL SCIENCES::Social sciences::Psychology Self-love Mental Health
Ano:2024
País:Portugal
Tipo de documento:póster em conferência
Tipo de acesso:acesso aberto
Instituição associada:Instituto Politécnico de Bragança
Idioma:inglês
Origem:Biblioteca Digital do IPB
Descrição
Resumo:Student mental health is a global goal, first because it is health we are talking about and secondly because it has implications in the quality of learning and, consequently, in the adequate preparation of professionals for society. The ANN presented excellent learning performance (> 90%) for all targeted variables, within reasonable to good generalization capacity (60-73%). Finally, the university student’s depressive state was the best-predicted variable (73%).