Deep learning for diabetes: a systematic review
Diabetes is a chronic metabolic disorder that affects an estimated 463 million people
worldwide. Aiming to improve the treatment of people with diabetes, digital health has been …
worldwide. Aiming to improve the treatment of people with diabetes, digital health has been …
Machine learning techniques for hypoglycemia prediction: trends and challenges
(1) Background: the use of machine learning techniques for the purpose of anticipating
hypoglycemia has increased considerably in the past few years. Hypoglycemia is the drop in …
hypoglycemia has increased considerably in the past few years. Hypoglycemia is the drop in …
Short-term prediction method of blood glucose based on temporal multi-head attention mechanism for diabetic patients
The hyperglycemic state of people with diabetes can lead to metabolic and healthy
disturbances in the body. Diabetes is mainly treated clinically by conservative treatment …
disturbances in the body. Diabetes is mainly treated clinically by conservative treatment …
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 …
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 …
Iot and cloud computing in health-care: A new wearable device and cloud-based deep learning algorithm for monitoring of diabetes
Diabetes is a chronic disease that can affect human health negatively when the glucose
levels in the blood are elevated over the creatin range called hyperglycemia. The current …
levels in the blood are elevated over the creatin range called hyperglycemia. The current …
Enhancing self-management in type 1 diabetes with wearables and deep learning
People living with type 1 diabetes (T1D) require lifelong self-management to maintain
glucose levels in a safe range. Failure to do so can lead to adverse glycemic events with …
glucose levels in a safe range. Failure to do so can lead to adverse glycemic events with …
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 …
Dilated recurrent neural networks for glucose forecasting in type 1 diabetes
Diabetes is a chronic disease affecting 415 million people worldwide. People with type 1
diabetes mellitus (T1DM) need to self-administer insulin to maintain blood glucose (BG) …
diabetes mellitus (T1DM) need to self-administer insulin to maintain blood glucose (BG) …
Feature-based machine learning model for real-time hypoglycemia prediction
Background: Hypoglycemia is a serious health concern in youth with type 1 diabetes (T1D).
Real-time data from continuous glucose monitoring (CGM) can be used to predict …
Real-time data from continuous glucose monitoring (CGM) can be used to predict …