Sistema leves: utilizando o aprendizado de máquina para o monitoramento de transtornos mentais comuns no trabalho

Abstract

Mental disorders are an important public health problem capable of impairing the full affective, social and work functioning of the individual. When anxiety, depressive or somatic symptoms do not meet the criteria for the diagnosis of anxiety and/or depression, these manifestations are called Common Mental Disorders, a condition that, although less criticalthan severe mental disorders, is highly prevalent and has a strong impact on the mental suffering and quality of life. Considering recent technological advances and their applications in predicting, promoting mental health, diagnosing and treating psychiatric disorders, this scientific-entrepreneurial research aims to develop a monitoring system for Common Mental Disorders in public employees using Artificial Intelligence and Machine Learning techniques. The study methodology was carried out in three stages: literature review; tool development; and validation. The production of knowledge from this research resulted in the elaboration of the “Sistema LEVES - Levantamento de Emoções e Sentimentos”, the MVP of a computational system for monitoring Common Mental Disorders at work.