Comparative Analysis of Predictive Interstitial Glucose Level Classification Models.

ABSTRACT:

Background

New methods of continuous glucose monitoring (CGM) provide real-time alerts for hypoglycemia, hyperglycemia, and rapid fluctuations of glucose levels, thereby improving glycemic control, which is especially crucial during meals and physical activity. However, complex CGM systems pose challenges for individuals with diabetes and healthcare professionals, particularly when interpreting rapid glucose level changes, dealing with sensor delays (approximately a 10 min difference between interstitial and plasma glucose readings), and addressing potential malfunctions. The development of advanced predictive glucose level classification models becomes imperative for optimizing insulin dosing and managing daily activities.

Methods

The aim of this study was to investigate th

SUBMITTER: Kistkins S 

PROVIDER: S-EPMC10574913 | biostudies-literature | 2023 Oct

REPOSITORIES: biostudies-literature