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Insulin Metabolism Models for Children with Type 1 Diabetes
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Author(s): Stavroula G. Mougiakakou (National Technical University of Athens, Greece), Aikaterini Prountzou (National Technical University of Athens, Greece), Dimitra Iliopoulou (National Technical University of Athens, Greece), Andriani Vazeou (UNational Technical University of Athens, Greece), Christos S. Bartsocas (MITERA Hospital, Greece)and Konstantina S. Nikita (National Technical University of Athens, Greece)
Copyright: 2008
Pages: 9
Source title:
Encyclopedia of Healthcare Information Systems
Source Author(s)/Editor(s): Nilmini Wickramasinghe (Illinois Institute of Technology, USA)and Eliezer Geisler (Illinois Institute of Technology, USA)
DOI: 10.4018/978-1-59904-889-5.ch095
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Abstract
The aim of this article is to describe how NN have been applied for the simulation of glucose—insulin metabolism, and to present two NN based personalized models for children with T1DM. The models, which are able to make short-term glucose predictions, are based on the combined use of MMs and NNs. The models are comparatively assessed using data about glucose levels, insulin intake, and diet during previous time periods, from four children with T1DM.
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