Glucose Prediction under Variable-Length Time-Stamped Daily Events: A Seasonal Stochastic Local Modeling Framework

Accurate glucose prediction along a long-enough time horizon is a key component for technology to improve type 1 diabetes treatment. Subjects with diabetes might benefit from supervision and control systems that accurately predict risks and trigger corrective actions early enough with improved mitig...

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Detalles Bibliográficos
Autores principales: Montaser, Eslam, Díez, José-Luis, Bondia, Jorge
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8124701/
https://www.ncbi.nlm.nih.gov/pubmed/34064325
http://dx.doi.org/10.3390/s21093188

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8124701/
https://www.ncbi.nlm.nih.gov/pubmed/34064325
http://dx.doi.org/10.3390/s21093188

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