Development and validation of strategies to mitigate the risk of hypoglycemic events in type 1 diabetes mellitus
Type 1 diabetes mellitus (T1DM) is a chronic condition resulting from the destruction of insulin-producing pancreatic beta-cells due to an autoimmune process that may occur at any age, but tends to develop in childhood and adolescence. T1DM results in an impairment of insulin secretion by the pancre...
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| Tipo de recurso: | tesis doctoral |
| Estado: | Versión publicada |
| Fecha de publicación: | 2019 |
| País: | España |
| Institución: | CBUC, CESCA |
| Repositorio: | TDR. Tesis Doctorales en Red |
| OAI Identifier: | oai:www.tdx.cat:10803/667929 |
| Acceso en línea: | http://hdl.handle.net/10803/667929 |
| Access Level: | acceso abierto |
| Palabra clave: | Type 1 diabetes Diabetis tipus 1 Diabetes tipo 1 Hypoglycemia Hipoglucèmia Hipoglucemia Machine learning Aprenentatge automàtic Aprendizaje automático Artificial pancreas Pàncrees artificial Páncreas artificial Close-loop control Control en bucle tancat Control en bucle cerrado 004 616.4 68 |
| Sumario: | Type 1 diabetes mellitus (T1DM) is a chronic condition resulting from the destruction of insulin-producing pancreatic beta-cells due to an autoimmune process that may occur at any age, but tends to develop in childhood and adolescence. T1DM results in an impairment of insulin secretion by the pancreas. Therefore, individuals afflicted with T1DM require an uninterrupted supply of exogenous insulin to survive. If insulin is not provided, subjects can face several complications associated with the damage and failure of various organ systems. In this work, different strategies were evaluated to reduce the risk of hypoglycemia, which is the most feared situation by patients. The strategies are: 1) A new methodology to adjust the upper limit of IOB of the controller, 2) Development of mitigation strategies for aerobic exercise, 3) Prediction of nocturnal hypoglycemia for patients under MDI therapy using machine learning algorithms. |
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