The importance of interpreting machine learning models for blood glucose prediction in diabetes: an analysis using SHAP.

Prendin, Francesco; Pavan, Jacopo; Cappon, Giacomo; Del Favero, Simone; Sparacino, Giovanni; Facchinetti, Andrea

Prendin, Francesco; Pavan, Jacopo; Cappon, Giacomo; Del Favero, Simone; Sparacino, Giovanni; Facchinetti, Andrea.

Afiliação

Prendin F; Department of Information Engineering, University of Padova, Padova, Italy.
Pavan J; Department of Information Engineering, University of Padova, Padova, Italy.
Cappon G; Department of Psychiatry and Neurobehavioral Sciences, Center for Diabetes Technology, University of Virginia, Charlottesville, VA, USA.
Del Favero S; Department of Information Engineering, University of Padova, Padova, Italy.
Sparacino G; Department of Information Engineering, University of Padova, Padova, Italy.
Facchinetti A; Department of Information Engineering, University of Padova, Padova, Italy.

Sci Rep ; 13(1): 16865, 2023 10 06.

Article em En | MEDLINE | ID: mdl-37803177

Assuntos

Glicemia; Diabetes Mellitus Tipo 1; Humanos; Glicemia/análise; Estudos Retrospectivos; Aprendizado de Máquina; Redes Neurais de Computação; Insulina/uso terapêutico

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

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