Personalized blood glucose prediction for type 1 diabetes using evidential deep learning and meta-learning
The availability of large amounts of data from continuous glucose monitoring (CGM),
together with the latest advances in deep learning techniques, have opened the door to a …
together with the latest advances in deep learning techniques, have opened the door to a …
Long-term prediction of blood glucose levels in type 1 diabetes using a cnn-lstm-based deep neural network
Background: In this work, we leverage state-of-the-art deep learning–based algorithms for
blood glucose (BG) forecasting in people with type 1 diabetes. Methods: We propose stacks …
blood glucose (BG) forecasting in people with type 1 diabetes. Methods: We propose stacks …
Blood glucose prediction in type 1 diabetes using deep learning on the edge
Real-time blood glucose (BG) prediction can enhance decision support systems for insulin
dosing such as bolus calculators and closed-loop systems for insulin delivery. Deep …
dosing such as bolus calculators and closed-loop systems for insulin delivery. Deep …
[HTML][HTML] A meta-learning approach to personalized blood glucose prediction in type 1 diabetes
S Langarica, M Rodriguez-Fernandez, F Núñez… - Control Engineering …, 2023 - Elsevier
Accurate blood glucose prediction is a critical element in modern artificial pancreas systems.
Recently, many deep learning-based models have been proposed for glucose prediction …
Recently, many deep learning-based models have been proposed for glucose prediction …
IoMT-enabled real-time blood glucose prediction with deep learning and edge computing
Blood glucose (BG) prediction is essential to the success of glycemic control in type 1
diabetes (T1D) management. Empowered by the recent development of the Internet of …
diabetes (T1D) management. Empowered by the recent development of the Internet of …
Stacked LSTM based deep recurrent neural network with kalman smoothing for blood glucose prediction
Background Blood glucose (BG) management is crucial for type-1 diabetes patients
resulting in the necessity of reliable artificial pancreas or insulin infusion systems. In recent …
resulting in the necessity of reliable artificial pancreas or insulin infusion systems. In recent …
Deep transfer learning and data augmentation improve glucose levels prediction in type 2 diabetes patients
Accurate prediction of blood glucose variations in type 2 diabetes (T2D) will facilitate better
glycemic control and decrease the occurrence of hypoglycemic episodes as well as the …
glycemic control and decrease the occurrence of hypoglycemic episodes as well as the …
An autonomous channel deep learning framework for blood glucose prediction
T Yang, X Yu, N Ma, R Wu, H Li - Applied Soft Computing, 2022 - Elsevier
Accurate prediction of blood glucose (BG) is conducive to avoiding abnormal blood glucose
events and improving blood glucose management for Type 1 diabetes (T1D) patients …
events and improving blood glucose management for Type 1 diabetes (T1D) patients …
Convolutional recurrent neural networks for glucose prediction
Control of blood glucose is essential for diabetes management. Current digital therapeutic
approaches for subjects with type 1 diabetes mellitus such as the artificial pancreas and …
approaches for subjects with type 1 diabetes mellitus such as the artificial pancreas and …
A deep learning approach for blood glucose prediction of type 1 diabetes
J Freiburghaus, A Rizzotti… - Proceedings of the …, 2020 - arodes.hes-so.ch
Résumé An essential part of this work is to provide a data-driven model for predicting blood
glucose levels that will help to warn the person with type 1 diabetes about a potential hypo …
glucose levels that will help to warn the person with type 1 diabetes about a potential hypo …