The Use of Artifical Intelligence in Assessing Glucose Variability in Individuals with Diabetes Type 2 from Routine Primary Care Data

Abstract

Background: The continuous glucose monitoring technique is recommended for follow-up of individuals with diabetes type 1. For those with diabetes type 2, glucose variability measures, either performed automatically or by visit-to-visit method, can be used to complement glycosylated haemo-globin (HbA1c) in predicting long-term outcomes.