A Markov Model of Gap Occurrence in Continuous Glucose Monitoring Data for Realistic in Silico Clinical Trials.

Vettoretti, Martina; Drecogna, Martina; Del Favero, Simone; Facchinetti, Andrea; Sparacino, Giovanni

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

Afiliação

Vettoretti M; Department of Information Engineering, University of Padova, Via G. Gradenigo 6/B, 35131 Padova, Italy. Electronic address: martina.vettoretti@unipd.it.
Drecogna M; Department of Information Engineering, University of Padova, Via G. Gradenigo 6/B, 35131 Padova, Italy.
Del Favero S; Department of Information Engineering, University of Padova, Via G. Gradenigo 6/B, 35131 Padova, Italy.
Facchinetti A; Department of Information Engineering, University of Padova, Via G. Gradenigo 6/B, 35131 Padova, Italy.
Sparacino G; Department of Information Engineering, University of Padova, Via G. Gradenigo 6/B, 35131 Padova, Italy.

Comput Methods Programs Biomed ; 240: 107700, 2023 Oct.

Article em En | MEDLINE | ID: mdl-37437469

Assuntos

Diabetes Mellitus Tipo 1; Diabetes Mellitus; Adulto; Criança; Humanos; Glicemia; Automonitorização da Glicemia/métodos; Calibragem; Modelos Teóricos; Diabetes Mellitus Tipo 1/tratamento farmacológico

Palavras-chave

Continuous glucose monitoring; Data gap; Glucose sensor; Markov model; Sensor error; Simulation model

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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Diabetes Mellitus / Diabetes Mellitus Tipo 1 Tipo de estudo: Health_economic_evaluation / Prognostic_studies Limite: Adult / Child / Humans Idioma: En Ano de publicação: 2023 Tipo de documento: Article

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