Optimizing blood glucose predictions in type 1 diabetes patients using a stacking ensemble approach
Introduction: The diabetes pandemic, including 828 million adults worldwide in 2022, would benefit from continued development of novel, effective and accurate blood glucose prediction systems. Using the DiaTrend dataset, this study used stacking machine learning optimized by Grey Wolf Optimizer to c...
Saved in:
| Main Authors: | , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2025-06-01
|
| Series: | Endocrine and Metabolic Science |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2666396125000391 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|