Abstract
In this paper we analyze a mathematical model (called MINMOD) that describes the interactions between glucose and insulin in human subjects, in order to realize an adequate model for ill patients, suffering from Diabetes Mellitus (DM) Type 2. Our model has been tested on the basis of clinical data and it has correctly reproduced glucose and insulin reply and temporal evolution, according to experimental data test. This model could, in the future, contribute to predict glucose and insulin behavior in ill patients and suggest the adequate treatment.
Keywords
- Temporal Evolution
- Myotonic Dystrophy
- Intravenous Glucose Tolerance Test
- Glucose Disappearance
- Experimental Data Test
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.
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Baratta, G., Barcellona, F., Lucidi, G., Bersani, A.M. (2002). Modeling Glucose-Insulin Behavior in Ill Patients (DM Type2). In: Colosimo, A., Sirabella, P., Giuliani, A. (eds) Medical Data Analysis. ISMDA 2002. Lecture Notes in Computer Science, vol 2526. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-36104-9_8
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DOI: https://doi.org/10.1007/3-540-36104-9_8
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