Prediction of Glucose Concentration in Children with Type 1 Diabetes Using Neural Networks: An Edge Computing Application

Background: Type 1 Diabetes Mellitus (T1D) is an autoimmune disease that can cause serious complications that can be avoided by preventing the glycemic levels from exceeding the physiological range. Straightforwardly, many data-driven models were developed to forecast future glycemic levels and to a...

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Detalhes bibliográficos

Principais autores:	Federico D’Antoni, Lorenzo Petrosino, Fabiola Sgarro, Antonio Pagano, Luca Vollero, Vincenzo Piemonte, Mario Merone
Formato:	Artigo
Idioma:	Inglês
Publicado em:	MDPI AG 2022-04-01
Colecção:	Bioengineering
Assuntos:	diabetes time-series forecasting glucose prediction pediatrics edge computing neural network
Acesso em linha:	https://www.mdpi.com/2306-5354/9/5/183
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