Machine Learning-driven Identification of the Honeymoon Phase in Pediatric Type 1 Diabetes and Optimizing Insulin Management
Objective: The honeymoon phase in type 1 diabetes (T1D) represents a temporary improvement in glycemic control but may complicate insulin management. The aim was to develop and validate a machine learning (ML)-driven method for accurately detecting this phase to optimize insulin therapy and prevent...
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| Main Author: | |
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| Format: | Article |
| Language: | English |
| Published: |
Galenos Yayincilik
2025-09-01
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| Series: | JCRPE |
| Subjects: | |
| Online Access: | https://www.jcrpe.org/articles/machine-learning-driven-identification-of-the-honeymoon-phase-in-pediatric-type-1-diabetes-and-optimizing-insulin-management/doi/jcrpe.galenos.2025.2024-8-13 |
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