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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. https://doi.org/10.1177/1932296817736074
Por favor, use este identificador para citar o enlazar este ítem: http://hdl.handle.net/10251/103138
Título: | Stochastic Seasonal Models for Glucose Prediction in the Artificial Pancreas | |||
Autor: | Montaser Roushdi Ali, Eslam | |||
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[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 ...[+]
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Derechos de uso: | Reserva de todos los derechos | |||
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Versión del editor: | https://doi.org/10.1177/1932296817736074 | |||
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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, ...[+]
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