The importance of interpreting machine learning models for blood glucose prediction in diabetes: an analysis using SHAP
Abstract Machine learning has become a popular tool for learning models of complex
dynamics from biomedical data. In Type 1 Diabetes (T1D) management, these models are …
dynamics from biomedical data. In Type 1 Diabetes (T1D) management, these models are …
Deep learning and regression approaches to forecasting blood glucose levels for type 1 diabetes
Objective: Controlling blood glucose in the euglycemic range is the main goal of developing
the closed-loop insulin delivery system for type 1 diabetes patients. The closed-loop system …
the closed-loop insulin delivery system for type 1 diabetes patients. The closed-loop system …
Blood Glucose Prediction from Nutrition Analytics in Type 1 Diabetes: A Review
Introduction: Type 1 Diabetes (T1D) affects over 9 million worldwide and necessitates
meticulous self-management for blood glucose (BG) control. Utilizing BG prediction …
meticulous self-management for blood glucose (BG) control. Utilizing BG prediction …
AWD-stacking: An enhanced ensemble learning model for predicting glucose levels
HZ Yang, Z Chen, J Huang, S Li - Plos one, 2024 - journals.plos.org
Accurate prediction of blood glucose levels is essential for type 1 diabetes optimizing insulin
therapy and minimizing complications in patients with type 1 diabetes. Using ensemble …
therapy and minimizing complications in patients with type 1 diabetes. Using ensemble …
[HTML][HTML] Advancing blood glucose prediction with neural architecture search and deep reinforcement learning for type 1 diabetics
For individuals with Type-1 diabetes mellitus, accurate prediction of future blood glucose
values is crucial to aid its regulation with insulin administration, tailored to the individual's …
values is crucial to aid its regulation with insulin administration, tailored to the individual's …
[HTML][HTML] Model-free-communication federated learning: framework and application to precision medicine
The problem of executing machine learning algorithms over data while complying with data
privacy is highly relevant in many application areas, including medicine in general and …
privacy is highly relevant in many application areas, including medicine in general and …
Hypoglycaemia prediction models with auto explanation
World-wide statistics show a considerable growth of the occurrence of different types of
Diabetes Mellitus, posing diverse challenges at many levels for public health policies. Some …
Diabetes Mellitus, posing diverse challenges at many levels for public health policies. Some …
[HTML][HTML] Hypoglycaemia prediction using information fusion and classifiers consensus
The recommendation that there must be a balance between insulin, food, and exercise to
keep diabetes under control provides an opportunity for developing mobile applications for …
keep diabetes under control provides an opportunity for developing mobile applications for …
[HTML][HTML] A personalized multitasking framework for real-time prediction of blood glucose levels in type 1 diabetes patients
H Yang, W Li, M Tian, Y Ren - Mathematical Biosciences and …, 2024 - aimspress.com
Real-time prediction of blood glucose levels (BGLs) in individuals with type 1 diabetes (T1D)
presents considerable challenges. Accordingly, we present a personalized multitasking …
presents considerable challenges. Accordingly, we present a personalized multitasking …
Autoencoder-based Detection of Insulin Pump Faults in Type 1 Diabetes Treatment
Individuals with type 1 diabetes (T1D) require lifelong insulin replacement to compensate for
deficient endogenous insulin secretion, which would otherwise result in abnormal blood …
deficient endogenous insulin secretion, which would otherwise result in abnormal blood …