Forecasting of Glucose Levels and Hypoglycemic Events: Head-to-Head Comparison of Linear and Nonlinear Data-Driven Algorithms Based on Continuous Glucose Monitoring Data Only

In type 1 diabetes management, the availability of algorithms capable of accurately forecasting future blood glucose (BG) concentrations and hypoglycemic episodes could enable proactive therapeutic actions, e.g., the consumption of carbohydrates to mitigate, or even avoid, an impending critical even...

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Detalles Bibliográficos
Autores principales: Prendin, Francesco, Del Favero, Simone, Vettoretti, Martina, Sparacino, Giovanni, Facchinetti, Andrea
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7956406/
https://www.ncbi.nlm.nih.gov/pubmed/33673415
http://dx.doi.org/10.3390/s21051647

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7956406/
https://www.ncbi.nlm.nih.gov/pubmed/33673415
http://dx.doi.org/10.3390/s21051647

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