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Dataset Information

Enhancing the Capabilities of Continuous Glucose Monitoring With a Predictive App.


ABSTRACT:

Background

Despite abundant evidence demonstrating the benefits of continuous glucose monitoring (CGM) in diabetes management, a significant proportion of people using this technology still struggle to achieve glycemic targets. To address this challenge, we propose the Accu-Chek® SmartGuide Predict app, an innovative CGM digital companion that incorporates a suite of advanced glucose predictive functionalities aiming to inform users earlier about acute glycemic situations.

Methods

The app's functionalities, powered by three machine learning models, include a two-hour glucose forecast, a 30-minute low glucose detection, and a nighttime low glucose prediction for bedtime interventions. Evaluation of the models' performance included three data sets, comprising subjec

SUBMITTER: Herrero P 

PROVIDER: S-EPMC11418465 | biostudies-literature | 2024 Sep

REPOSITORIES: biostudies-literature