Searchable abstracts of presentations at key conferences in endocrinology

ea0081p54 | Diabetes, Obesity, Metabolism and Nutrition | ECE2022

Glucose prediction model based on continuous glucose monitoring in patients with type 1 diabetes mellitus: GlucoseML study preliminary results

Christou Maria , Katsarou Daphne N. , Georga Eleni I. , Zisidis Christos , Siolos Athanasios , Papaloukas Costas , Tigas Stelios , Fotiadis Dimitrios I.

Introduction: Current guidelines emphasize the important role of Continuous Glucose Monitoring (CGM) for type 1 diabetes mellitus (T1DM) management. The aim of the GlucoseML study is the development of a mobile health system for T1DM self-management based on CGM data, physical activity, food intake and insulin dosage. We herein present the development and evaluation of a univariate Autoregressive Moving Average (ARMA) prediction model of interstitial glucose concentration for ...