A review of personalized blood glucose prediction strategies for T1DM patients

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orcId Oviedo Castillo, Silvia​ ​ ​ ​
Oviedo Castillo, Silvia
orcId Vehí, Josep​ researcherId Vehí, Josep​ scopusId Vehí, Josep​ ​
Vehí, Josep
orcId Calm i Puig, Remei​ ​ scopusId Calm i Puig, Remei​ ​
Calm i Puig, Remei
orcId Armengol Llobet, Joaquim​ researcherId Armengol Llobet, Joaquim​ scopusId Armengol Llobet, Joaquim​ ​
Armengol Llobet, Joaquim
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This paper presents a methodological review of models for predicting blood glucose (BG) concentration, risks and BG events. The surveyed models are classified into three categories, and they are presented in summary tables containing the most relevant data regarding the experimental setup for fitting and testing each model as well as the input signals and the performance metrics. Each category exhibits trends that are presented and discussed. This document aims to be a compact guide to determine the modeling options that are currently being exploited for personalized BG prediction ​
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