In this work, we develop new mathematical tools for diabetes therapy management, where the key problem is to predict the future blood glucose levels of a diabetic patient from available current and past information about therapeutically valuable factors. We provide a theoretical analysis of the developed techniques and demonstrate them in real-life applications. To show the efficiency of the developed mathematical tools, we provide an extensive collection of the results of numerical experiments with simulated and real clinical data, as well as comparing them with existing literature. This research has been performed in the course of the project ''DIAdvisor'' (DIAdvisor: personal glucose predictive diabetes advisor) funded by the European Commission within 7-th Framework Programme. The author gratefully acknowledges the support of the ''DIAdvisor'' consortium.
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In this work, we develop new mathematical tools for diabetes therapy management, where the key problem is to predict the future blood glucose levels of a diabetic patient from available current and past information about therapeutically valuable factors. We provide a theoretical analysis of the developed techniques and demonstrate them in real-life applications. To show the efficiency of the developed mathematical tools, we provide an extensive collection of the results of numerical experiments with simulated and real clinical data, as well as comparing them with existing literature. This research has been performed in the course of the project ''DIAdvisor'' (DIAdvisor: personal glucose predictive diabetes advisor) funded by the European Commission within 7-th Framework Programme. The author gratefully acknowledges the support of the ''DIAdvisor'' consortium.
Valeriya Naumova is currently a research scientist at RICAM (Radon Institute for Computational and Applied Mathematics of the Austrian Academy of Sciences, Linz, Austria). Her interests center on inverse problems, learning theory, and mathematical modelling for medical applications.
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Taschenbuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -In this work, we develop new mathematical tools for diabetes therapy management, where the key problem is to predict the future blood glucose levels of a diabetic patient from available current and past information about therapeutically valuable factors. We provide a theoretical analysis of the developed techniques and demonstrate them in real-life applications. To show the efficiency of the developed mathematical tools, we provide an extensive collection of the results of numerical experiments with simulated and real clinical data, as well as comparing them with existing literature. This research has been performed in the course of the project ''DIAdvisor'' (DIAdvisor: personal glucose predictive diabetes advisor) funded by the European Commission within 7-th Framework Programme. The author gratefully acknowledges the support of the ''DIAdvisor'' consortium. 176 pp. Englisch. N° de réf. du vendeur 9783659270628
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Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Naumova ValeriyaValeriya Naumova is currently a research scientist at RICAM (Radon Institute for Computational and Applied Mathematics of the Austrian Academy of Sciences, Linz, Austria). Her interests center on inverse problems, lea. N° de réf. du vendeur 5144634
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Taschenbuch. Etat : Neu. Numerical Methods for Diabetes Technology | Mathematical Algorithms for a Better Management of Type 1 Diabetes | Valeriya Naumova | Taschenbuch | 176 S. | Englisch | 2012 | LAP LAMBERT Academic Publishing | EAN 9783659270628 | Verantwortliche Person für die EU: BoD - Books on Demand, In de Tarpen 42, 22848 Norderstedt, info[at]bod[dot]de | Anbieter: preigu. N° de réf. du vendeur 106213114
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Taschenbuch. Etat : Neu. This item is printed on demand - Print on Demand Titel. Neuware -In this work, we develop new mathematical tools for diabetes therapy management, where the key problem is to predict the future blood glucose levels of a diabetic patient from available current and past information about therapeutically valuable factors. We provide a theoretical analysis of the developed techniques and demonstrate them in real-life applications. To show the efficiency of the developed mathematical tools, we provide an extensive collection of the results of numerical experiments with simulated and real clinical data, as well as comparing them with existing literature. This research has been performed in the course of the project ''DIAdvisor'' (DIAdvisor: personal glucose predictive diabetes advisor) funded by the European Commission within 7-th Framework Programme. The author gratefully acknowledges the support of the ''DIAdvisor'' consortium.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 176 pp. Englisch. N° de réf. du vendeur 9783659270628
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Taschenbuch. Etat : Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - In this work, we develop new mathematical tools for diabetes therapy management, where the key problem is to predict the future blood glucose levels of a diabetic patient from available current and past information about therapeutically valuable factors. We provide a theoretical analysis of the developed techniques and demonstrate them in real-life applications. To show the efficiency of the developed mathematical tools, we provide an extensive collection of the results of numerical experiments with simulated and real clinical data, as well as comparing them with existing literature. This research has been performed in the course of the project ''DIAdvisor'' (DIAdvisor: personal glucose predictive diabetes advisor) funded by the European Commission within 7-th Framework Programme. The author gratefully acknowledges the support of the ''DIAdvisor'' consortium. N° de réf. du vendeur 9783659270628
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