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.

Prendin, Francesco; Del Favero, Simone; Vettoretti, Martina; Sparacino, Giovanni; Facchinetti, Andrea

Prendin, Francesco; Del Favero, Simone; Vettoretti, Martina; Sparacino, Giovanni; Facchinetti, Andrea.

Afiliación

Prendin F; Department of Information Engineering, University of Padova, 35131 Padova, Italy.
Del Favero S; Department of Information Engineering, University of Padova, 35131 Padova, Italy.
Vettoretti M; Department of Information Engineering, University of Padova, 35131 Padova, Italy.
Sparacino G; Department of Information Engineering, University of Padova, 35131 Padova, Italy.
Facchinetti A; Department of Information Engineering, University of Padova, 35131 Padova, Italy.

Sensors (Basel) ; 21(5)2021 Feb 27.

Article en En | MEDLINE | ID: mdl-33673415

Asunto(s)

Automonitorización de la Glucosa Sanguínea; Glucemia/análisis; Hipoglucemia; Algoritmos; Humanos; Hipoglucemia/diagnóstico

Palabras clave

data-driven modeling; glucose sensor; signal processing; time series

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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Glucemia / Automonitorización de la Glucosa Sanguínea / Hipoglucemia Tipo de estudio: Diagnostic_studies / Guideline / Prognostic_studies Límite: Humans Idioma: En Revista: Sensors (Basel) Año: 2021 Tipo del documento: Article País de afiliación: Italia

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