"It's like a glimpse into the future": Exploring the Role of Blood Glucose Prediction Technologies for Type 1 Diabetes Self-Management
Author:
Affiliation:
1. Department of Informatics, University of Zurich, Switzerland and Digital Society Initiative, Switzerland
2. Department of Informatics, University of Zurich, Switzerland
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3613904.3642234
Reference118 articles.
1. Agricultural Research Service. 2019. U.S. Department of Agriculture. http://fdc.nal.usda.gov/
2. A Practical Approach to Using Trend Arrows on the Dexcom G5 CGM System for the Management of Adults With Diabetes
3. A Multi-Patient Data-Driven Approach to Blood Glucose Prediction
4. An Effective Model of Diabetes Care and Education: Revising the AADE7 Self-Care Behaviors®
5. American Diabetes Association. [n. d.]. CGM & Time in Range. https://diabetes.org/tools-support/devices-technology/cgm-time-in-range
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