Machine learning-based glucose prediction with use of continuous glucose and physical activity monitoring data: The Maastricht Study.
Journal:
PloS one
Published Date:
Jan 1, 2021
Abstract
BACKGROUND: Closed-loop insulin delivery systems, which integrate continuous glucose monitoring (CGM) and algorithms that continuously guide insulin dosing, have been shown to improve glycaemic control. The ability to predict future glucose values can further optimize such devices. In this study, we used machine learning to train models in predicting future glucose levels based on prior CGM and accelerometry data.