A review of personalized blood glucose prediction strategies for T1DM patients

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

This work has been funded by the Spanish Government through the predoctoral contract ES‐2014‐068289 within the project ‘New methods for efficiency and safety of home artificial pancreas in type I diabetes’ with reference number DPI2013‐46982‐C2‐2‐R