Banca de DEFESA: JESSICA CAROLINE MACEDO TEIXEIRA MARTINS

LEVES System: Using Machine Learning to Monitor Common Mental Disorders at Work

Mental Disorders; Monitoring; Occupational Health; Machine Learning; Digital Technology; mHealth

Mental disorders are an important public health problem capable of impairing the individual's full affective, social and work functioning. When anxious, depressive or somatic symptoms do not meet the criteria for the diagnosis of anxiety and/or depression, these symptoms are called Common Mental Disorders, a condition that, although less critical than severe mental disorders, is highly prevalent and has a strong impact on the mental suffering and quality of life. Considering its recent advances and applications in the prediction, promotion of mental health, diagnosis and treatment of psychiatric disorders, this research aims to develop a monitoring system for Common Mental Disorders and job dissatisfaction in public servants using techniques of Artificial Intelligence and Machine Learning. Therefore, it will be based on a diversified methodology, which will be carried out in four stages: literature review; documentary research; development of tools based on design thinking techniques, agile and lean methodologies; and validation. As expected results, we seek to develop and validate the solution “Sistema LEVES: Levantamento de Emoções e Sentimentos” and make the tool available for use.