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- W865620462 abstract "This paper deals with the application of self-monitoring diabetes data that are supplemented by the continuous glucose monitoring for the blood glucose concentration prediction. The short-term predictor is designed and evaluated on three different datasets. A diabetes-specific metrics is used to evaluate the predictors. Standard Least Squares identification as well as an alternative identification method with constraints is considered." @default.
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- W865620462 date "2015-03-31" @default.
- W865620462 modified "2023-10-16" @default.
- W865620462 title "Prediction of Glycemia Based on Diabetes Self-Monitoring Data" @default.
- W865620462 doi "https://doi.org/10.15866/ireaco.v8i2.5232" @default.
- W865620462 hasPublicationYear "2015" @default.
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