Visualization and analysis of continuous glucose monitoring data based on self-monitoring.
Diabetes as a chronic disease affecting multiple age groups has been increasing in prevalence in recent years. This trend highlights the growing need for effective blood glucose monitoring in the wider population. Based on the continuous development of continuous glucose monitoring devices and the fact that daily glucose monitoring remains an important component in controlling the progression of the disease, the aim of this study was to develop an intuitive glucose visualization tool that utilizes continuous glucose test data to facilitate patient self-monitoring, self-management and support clinical decision-making at a potential level. By combining a user-friendly interface with advanced data analytics, the tool aims to empower patients in their daily diabetes management while providing valuable insights for medical review.
Institutions
- University of North Carolina at Chapel Hill (US)
Publication Details
- Journal
- UNC Libraries
- Published
- 2024-10-24
- DOI
- https://doi.org/10.17615/fft2-0b92
- Primary Topic
- Evolutionary Psychology and Human Behavior
- Type
- article
- Field-Weighted Citation Impact
- 0.00