Prediction of Glycemia Based on Diabetes Self-Monitoring Data

Marián Tárník; Vladimír Bátora; Tomáš Ludwig; Ivan Ottinger; Eva Miklovičová; Ján Murgaš

doi:10.15866/ireaco.v8i2.5232

Prediction of Glycemia Based on Diabetes Self-Monitoring Data

Marián Tárník⁽¹⁾, Vladimír Bátora⁽²⁾, Tomáš Ludwig⁽³⁾, Ivan Ottinger^(4*), Eva Miklovičová⁽⁵⁾, Ján Murgaš⁽⁶⁾

^(*) Corresponding author

Authors' affiliations

DOI: https://doi.org/10.15866/ireaco.v8i2.5232

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.
Copyright © 2015 Praise Worthy Prize - All rights reserved.

Keywords

Diabetes; Glucose; Predictors; Least Squares Identification

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