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Article . 2021
License: CC BY
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ZENODO
Article . 2021
License: CC BY
Data sources: Datacite
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ZENODO
Article . 2021
License: CC BY
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Claim

Impact of Carbohydrate Counting Error on Glycemic Control in Open-Loop Management of Type 1 Diabetes: Quantitative Assessment Through an in silico Trial

descriptionPublicationkeyboard_double_arrow_right Article 12 May 2021 English Publisher:ZenodoFunded by:EC | Hypo-RESOLVE
Authors: Chiara Roversi; Martina Vettoretti; Simone Del Favero; Andrea Facchinetti; Giovanni Sparacino;

doi: 10.5281/zenodo.4761772 , 10.5281/zenodo.4761773

Impact of Carbohydrate Counting Error on Glycemic Control in Open-Loop Management of Type 1 Diabetes: Quantitative Assessment Through an in silico Trial

Abstract

In this study, we performed an in silico trial aiming at quantifying the impact of different levels of carb-counting error on glycemic control.

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Keywords

type 1 diabetes, carbohydrate counting error, glycemic control, in silico trial

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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