Banca de QUALIFICAÇÃO: JESSICA CAROLINE MACEDO TEIXEIRA MARTINS
Uma banca de QUALIFICAÇÃO de MESTRADO foi cadastrada pelo programa.STUDENT : JESSICA CAROLINE MACEDO TEIXEIRA MARTINS
DATE: 30/05/2022
TIME: 14:00
LOCAL: Sala 4 Escola de Ciências e Tecnologia
TITLE:
LEVES System: Machine Learning for Monitoring Common Mental Disorders and Work Dissatisfaction.
KEY WORDS:
Mental Disorders; Monitoring; Occupational Health; Machine Learning; Digital Technology; mHealth
PAGES: 50
BIG AREA: Ciências da Saúde
AREA: Enfermagem
SUBÁREA: Enfermagem de Saúde Pública
SUMMARY:
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.
BANKING MEMBERS:
Presidente - 1753067 - EFRAIN PANTALEON MATAMOROS
Interno - 1753123 - CARLOS ALEXANDRE CAMARGO DE ABREU
Interno - 1378360 - MARCO ANTONIO LEANDRO CABRAL
Interno - 1943220 - ORIVALDO VIEIRA DE SANTANA JUNIOR
Externa à Instituição - REGINA CARMEN ESPOSITO - UFRN