Prediction of Glycemia Based on Diabetes Self-Monitoring Data
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.
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