Silvia Oviedo, J. Vehí, R. Calm, J. Armengol
2017.6.1International Journal for Numerical Methods in Biomedical Engineering
tlooto Summary
This paper presents a methodological review of models for predicting blood glucose (BG) concentration, risks and BG events in a compact guide to determine the modeling options that are currently being exploited for personalized BG prediction.
Abstract
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.
Citation format
OVIEDO, Silvia, et al. A review of personalized blood glucose prediction strategies for T1DM patients. International Journal for Numerical Methods in Biomedical Engineering, 2017, 33.