Diagnostyka > 2024 > Vol. 25, No. 1 > art. no. 2024112
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journal ISSN : | 1641-6414 |
journal e-ISSN : | 2449-5220 |
DOI | 10.29354/diag/183633 |
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Bibliography
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1. Diabetes Statistics. Center for Diabetic Empowerment Education. https://ceed-diabete.org/fr/le-diabete/leschiffres/.
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2. Meneghetti L, Terzi M, Del Favero S, Susto GA, Cobelli C. Data-Driven Anomaly Recognition for Unsupervised Model-Free Fault Detection in Artificial Pancreas. IEEE Transactions on Control Systems Technology 2020; 28(1): 33-47. https://doi.org/10.1109/TCST.2018.2885963.
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3. Warshaw H, Isaacs D, MacLeod J. The Reference Guide to Integrate Smart Insulin Pens Into DataDriven Diabetes Care and Education Services. The Diabetes Educator 2020; 46(4_suppl): 3S-20S. https://doi.org/10.1177/0145721720930183.