Optimizing hypoglycaemia prediction in type 1 diabetes with Ensemble Machine Learning modeling

Optimizing hypoglycaemia prediction in type 1 diabetes with Ensemble Machine Learning modeling

Abstract Background Type 1 diabetes (T1D) is a chronic endocrine disorder characterized by high blood glucose levels, impacting millions of people globally. Its management requires intensive insulin therapy, frequent blood glucose monitoring, and lifestyle adjustments. The accurate prediction of the...

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Main Authors: Daphne N. Katsarou, Eleni I. Georga, Maria A. Christou, Panagiota A. Christou, Stelios Tigas, Costas Papaloukas, Dimitrios I. Fotiadis
Format: Article
Language:English
Published: BMC 2025-01-01
Series:BMC Medical Informatics and Decision Making
Subjects:
Type 1 diabetes
Continuous glucose monitoring
Glucose prediction
Machine learning
Online Access:https://doi.org/10.1186/s12911-025-02867-2
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https://doi.org/10.1186/s12911-025-02867-2

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