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https://hdl.handle.net/1822/52509
Título: | Artificial neural networks in diabetes control |
Autor(es): | Fernandes, Filipe Vicente, Henrique Abelha, António Machado, José Manuel Novais, Paulo Neves, José |
Palavras-chave: | Artificial Neural Networks Degree-of-Confidence Diabetes Mellitus Logic Programming Quality-of-Information |
Data: | 2-Set-2015 |
Editora: | Institute of Electrical and Electronics Engineers Inc. |
Citação: | Fernandes, F., Vicente, H., Abelha, A., Machado, J., Novais, P., & Neves, J. (2015, July). Artificial neural networks in diabetes control. In Science and Information Conference (SAI), 2015 (pp. 362-370). IEEE |
Resumo(s): | Diabetes Mellitus is now a prevalent disease in both developed and underdeveloped countries, being a major cause of morbidity and mortality. Overweight/obesity and hypertension are potentially modifiable risk factors for diabetes mellitus, and persist during the course of the disease. Despite the evidence from large controlled trials establishing the benefit of intensive diabetes management in reducing microvasculars and macrovasculars complications, high proportions of patients remain poorly controlled. Poor and inadequate glycemic control among patients with Type 2 diabetes constitutes a major public health problem and a risk factor for the development of diabetes complications. In clinical practice, optimal glycemic control is difficult to obtain on a long-term basis, once the reasons for feebly glycemic control are complex. Therefore, this work will focus on the development of a diagnosis support system, in terms of its knowledge representation and reasoning procedures, under a formal framework based on Logic Programming, complemented with an approach to computing centred on Artificial Neural Networks, to evaluate the Diabetes states and the Degree-of-Confidence that one has on such a happening. |
Tipo: | Artigo em ata de conferência |
URI: | https://hdl.handle.net/1822/52509 |
ISBN: | 978-1-4799-8546-3 |
e-ISBN: | 978-1-4799-8547-0 |
DOI: | 10.1109/SAI.2015.7237169 |
Versão da editora: | http://ieeexplore.ieee.org/abstract/document/7237169/?reload=true |
Arbitragem científica: | yes |
Acesso: | Acesso restrito UMinho |
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2015_SAI_2015.pdf Acesso restrito! | 508,21 kB | Adobe PDF | Ver/Abrir |