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 …
[HTML][HTML] 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 …
[HTML][HTML] Explainable artificial intelligence for predictive modeling in healthcare
CC Yang - Journal of healthcare informatics research, 2022 - Springer
The principle behind artificial intelligence is mimicking human intelligence in the way that it
can perform tasks, recognize patterns, or predict outcomes through learning from the …
can perform tasks, recognize patterns, or predict outcomes through learning from the …
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 …
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 …
[HTML][HTML] 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 …
[HTML][HTML] 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 …
Basal Glucose Control in Type 1 Diabetes Using Deep Reinforcement Learning: An In Silico Validation
People with Type 1 diabetes (T1D) require regular exogenous infusion of insulin to maintain
their blood glucose concentration in a therapeutically adequate target range. Although the …
their blood glucose concentration in a therapeutically adequate target range. Although the …
Artificial intelligence and machine learning for improving glycemic control in diabetes: best practices, pitfalls and opportunities
Objective: Artificial intelligence and machine learning are transforming many fields including
medicine. In diabetes, robust biosensing technologies and automated insulin delivery …
medicine. In diabetes, robust biosensing technologies and automated insulin delivery …