Publicly Available Data Set Including Continuous Glucose Monitoring Data
Author:
Affiliation:
1. Department of Health Science and Technology, Aalborg University, Aalborg, Denmark
Publisher
SAGE Publications
Subject
Biomedical Engineering,Bioengineering,Endocrinology, Diabetes and Metabolism,Internal Medicine
Link
http://journals.sagepub.com/doi/pdf/10.1177/19322968231191146
Reference6 articles.
1. Data Sharing of Continuous Glucose Monitoring Data: The Need for a New Paradigm?
2. Hypoglycemia event prediction from CGM using ensemble learning
3. Penalty weighted glucose prediction models could lead to better clinically usage
4. Zhao Q, Zhu J, Shen X, et al. Chinese diabetes datasets for data-driven machine learning. Sci Data. 2023;10(1):1-8. https://www.nature.com/articles/s41597-023-01940-7. Accessed July 7, 2023.
5. Riddell MC, Li Z, Gal RL, et al. Examining the acute glycemic effects of different types of structured exercise sessions in type 1 diabetes in a real-world setting: the Type 1 Diabetes and Exercise Initiative (T1DEXI). Diabetes Care. 2023;46(4):704-713. https://pubmed.ncbi.nlm.nih.gov/36795053/. Accessed July 7, 2023.
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