Optimizing blood glucose predictions in type 1 diabetes patients using a stacking ensemble approach

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...

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Bibliographic Details
Main Authors: Vincent B. Liu, Laura Y. Sue, Oscar Madrid Padilla, Yingnian Wu
Format: Article
Language:English
Published: Elsevier 2025-06-01
Series:Endocrine and Metabolic Science
Subjects:
Diabetes
Prediction
Machine learning
Stacking
Grey wolf
Time series
Online Access:http://www.sciencedirect.com/science/article/pii/S2666396125000391
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