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Orientador(es)
Resumo(s)
Diabetes mellitus is a chronic disease that occurs when one cannot produce or use insulin effectively.
Almost 500 million people live with this issue, which means they are more prone to comorbidities such
as obesity or overweight. The current worldwide scenario is already being termed an epidemic. In
order to overcome the risks associated with these clinical factors, glucagon-like peptide 1 receptors
have emerged as a promising intervention as they have demonstrated multifaceted metabolic
benefits. Due to the recent introduction of this pharmaceutical in people with type 1 diabetes, many
studies are still unfolding to understand its limitations and long-term consequences better. Through a
predictive model, this study identifies individual and clinical characteristics that may influence
response to treatment. Moreover, given the high price of the drug, the model can serve as a validation
tool for medical teams to assess whether the patient will achieve the expected outcome, contributing
to the effective management of the substance. The results and validation metrics indicate that the
predictive model successfully predicted the response to treatment and identified the factors that
contributed to the success of the treatment, highlighting that the early stages of overweight are the
optimal time to start the therapy. Additionally, it was found that patients with an optimised glycaemic
control (low glycosylated haemoglobin levels) have less treatment efficacy. This study is especially
valuable for healthcare professionals, leading to personalised treatment strategies and supporting
treatment decision-making. Furthermore, it is an innovative study in terms of content since no
literature combines these agonists for type 1 diabetes with a predictive perspective.
Descrição
Dissertation presented as the partial requirement for obtaining a Master's degree in Information Management, specialization in Knowledge Management and Business Intelligence
Palavras-chave
Diabetes Obesity Glucagon-Like Peptide 1 Receptor Agonists Predictive Model SDG 3 - Good health and well-being
