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Stochastic Seasonal Models for Glucose Prediction in the Artificial Pancreas

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Stochastic Seasonal Models for Glucose Prediction in the Artificial Pancreas

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Montaser Roushdi Ali, E.; Diez, J.; Bondía Company, J. (2017). Stochastic Seasonal Models for Glucose Prediction in the Artificial Pancreas. Journal of Diabetes Science and Technology. 11(6):1124-1131. doi:10.1177/1932296817736074

Por favor, use este identificador para citar o enlazar este ítem: http://hdl.handle.net/10251/103138

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Title: Stochastic Seasonal Models for Glucose Prediction in the Artificial Pancreas
Author: Montaser Roushdi Ali, Eslam Diez, José-Luís Bondía Company, Jorge
UPV Unit: Universitat Politècnica de València. Departamento de Ingeniería de Sistemas y Automática - Departament d'Enginyeria de Sistemes i Automàtica
Issued date:
Embargo end date: 2018-12-01
Abstract:
[EN] Background: Linear empirical dynamic models have been widely used for glucose prediction. The extension of the concept of seasonality, characteristic of other domains, is explored here for the improvement of prediction ...[+]
Subjects: Artificial pancreas, Glucose prediction, Seasonal models, Stochastic models, Type 1 diabetes
Copyrigths: Reserva de todos los derechos
Source:
Journal of Diabetes Science and Technology. (issn: 1932-2968 )
DOI: 10.1177/1932296817736074
Publisher:
SAGE Publications
Publisher version: https://doi.org/10.1177/1932296817736074
Thanks:
The author(s) disclosed receipt of the following financial support for the research, authorship, and/or publication of this article: This work was funded by the Spanish Ministry of Economy and Competitiveness, ...[+]
Type: Artículo

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