Blood glucose level prediction in type 1 diabetes: A comparative analysis of interpretable artificial intelligence approaches
This study examines the use of different interpretable Artificial Intelligence models in predicting short-term blood glucose levels in subjects with Type 1 Diabetes. The interpretability of Artificial Intelligence models is a critical concept, especially in the medical context, because it prevents t...
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| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2025-03-01
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| Series: | Results in Engineering |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2590123024019248 |
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