Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/38614
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dc.contributor.authorSiti Nadiah Zainal.-
dc.date.accessioned2010-05-13T07:55:49Z-
dc.date.available2010-05-13T07:55:49Z-
dc.date.copyright2010en_US
dc.date.issued2010-
dc.identifier.urihttp://hdl.handle.net/10356/38614-
dc.description.abstractDiabetes is a disease caused by the lack of the hormone insulin, which is responsible for regulating the amount of glucose in the blood. Diabetic patients undergo treatment by injecting insulin into their bloodstream after meals, and the difficulty is often in estimating the amount of insulin needed. An overdose of insulin may lead to fatal consequences, as the patients may find a complete lack of blood glucose for their basic cell metabolism. This project attempts to develop a neural model of the glucose cycle for analysis and prediction of effects of disturbance in the form of food intake as well as energy consuming through exercise. Subsequently, this model will be used to control the amount of insulin to be given to the patients.en_US
dc.format.extent51 p.en_US
dc.language.isoenen_US
dc.rightsNanyang Technological University-
dc.subjectDRNTU::Engineering::Computer science and engineering::Computer applications::Life and medical sciencesen_US
dc.titleModelling of blood glucose metabolism using neural networks with online learningen_US
dc.typeFinal Year Project (FYP)en_US
dc.contributor.supervisorYow Kin Choongen_US
dc.contributor.schoolSchool of Computer Engineeringen_US
dc.description.degreeBachelor of Engineering (Computer Science)en_US
dc.contributor.researchCentre for Computational Intelligenceen_US
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Appears in Collections:SCSE Student Reports (FYP/IA/PA/PI)
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