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

D'Antoni, Federico; Petrosino, Lorenzo; Sgarro, Fabiola; Pagano, Antonio; Vollero, Luca; Piemonte, Vincenzo; Merone, Mario

D'Antoni, Federico; Petrosino, Lorenzo; Sgarro, Fabiola; Pagano, Antonio; Vollero, Luca; Piemonte, Vincenzo; Merone, Mario.

Afiliação

D'Antoni F; Unit of Computer Systems and Bioinformatics, Department of Engineering, Università Campus Bio-Medico di Roma, 00128 Rome, Italy.
Petrosino L; Unit of Computer Systems and Bioinformatics, Department of Engineering, Università Campus Bio-Medico di Roma, 00128 Rome, Italy.
Sgarro F; Unit of Computer Systems and Bioinformatics, Department of Engineering, Università Campus Bio-Medico di Roma, 00128 Rome, Italy.
Pagano A; Unit of Computer Systems and Bioinformatics, Department of Engineering, Università Campus Bio-Medico di Roma, 00128 Rome, Italy.
Vollero L; Unit of Computer Systems and Bioinformatics, Department of Engineering, Università Campus Bio-Medico di Roma, 00128 Rome, Italy.
Piemonte V; Unit of Chemical Engineering, Department of Engineering, Università Campus Bio-Medico di Roma, 00128 Rome, Italy.
Merone M; Unit of Computer Systems and Bioinformatics, Department of Engineering, Università Campus Bio-Medico di Roma, 00128 Rome, Italy.

Bioengineering (Basel) ; 9(5)2022 Apr 21.

Article em En | MEDLINE | ID: mdl-35621461

Palavras-chave

artificial intelligence; decision support system; diabetes; edge computing; glucose prediction; neural network; pediatrics; precision medicine; time-series forecasting

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Texto completo: 1 Bases de dados: MEDLINE Tipo de estudo: Prognostic_studies / Risk_factors_studies Idioma: En Revista: Bioengineering (Basel) Ano de publicação: 2022 Tipo de documento: Article País de afiliação: Itália

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