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Predicting Plasma Glucose From Interstitial Glucose Observations Using Bayesian Methods
One way of constructing a control algorithm for an artificial pancreas is to identify a model capable of predicting plasma glucose (PG) from interstitial glucose (IG) observations. Stochastic differential equations (SDEs) make it possible to account both for the unknown influence of the continuous g...
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| Publicado no: | J Diabetes Sci Technol |
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| Main Authors: | , , , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
SAGE Publications
2014
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4455396/ https://ncbi.nlm.nih.gov/pubmed/24876584 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1177/1932296814523878 |
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