Mental health at Nova Sbe

• Autor(a) principal: Ahrach, Bilal El
• Data de Publicação: 2023
• Tipo de documento: Dissertação
• Idioma: eng
• Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
• Texto Completo: http://hdl.handle.net/10362/156088
• topic: Mental health; Students; Clustering algorithms; Prevention; Domínio/Área Científica::Ciências Sociais::Economia e Gestão

This research tackles the understanding of the leading drivers affecting mental health amongst Nova SBE students during Covid-19. The objective behind the study is to identify the groups of students with the highest risk of suffering from poor mental health, in order to achieve measures of prevention corresponding to where they may suffer the most. The dataset is composed of three similar surveys forwarded to students in separate times of the academic year 2021-2022. I will be using unsupervised clustering algorithms on the data to fixate newly formed groups of students sharing the same similarity traits based on the frameworks of the surveys. The results will be leveraged using analytical and descriptive techniques to serve the purpose of the study. The main tool used in this research is Python programming language, mainly chosen for the implementation of the material covered during my master’s degree, and for the flexibility of using the different packages and libraries (Pandas, NumPy, Matplotlib, Scikit-learn).