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Smart healthcare: developing a pattern to predict the stress and anxiety among university students using machine learning technology

Background: Anxiety among students has become a fairly major problem. In the current era, Machine Learning (ML) can be used as a quick technology to predict students' anxiety with the high-level accuracy. Objectives: This research aims to predict university students' anxiety...

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Principais autores: Farhad Lotfi, Branka Rodić, Aleksandra Labus, Zorica Bogdanović
Formato: Artigo
Idioma:Inglês
Publicado: Graz University of Technology 2024-09-01
Series:Journal of Universal Computer Science
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Acceso en liña:https://lib.jucs.org/article/116174/download/pdf/
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