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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Главные авторы:	Vincent B. Liu, Laura Y. Sue, Oscar Madrid Padilla, Yingnian Wu
Формат:	Artigo
Язык:	Inglês
Опубликовано:	Elsevier 2025-06-01
Серии:	Endocrine and Metabolic Science
Предметы:	Diabetes Prediction Machine learning Stacking Grey wolf Time series
Online-ссылка:	http://www.sciencedirect.com/science/article/pii/S2666396125000391
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