Turnitin
降AI改写
早检测系统
早降重系统
Turnitin-UK版
万方检测-期刊版
维普编辑部版
Grammarly检测
Paperpass检测
checkpass检测
PaperYY检测
[HTML][HTML] Data-driven modeling and prediction of blood glucose dynamics: Machine learning applications in type 1 diabetes
Background Diabetes mellitus (DM) is a metabolic disorder that causes abnormal blood
glucose (BG) regulation that might result in short and long-term health complications and …
glucose (BG) regulation that might result in short and long-term health complications and …
Reinforcement learning application in diabetes blood glucose control: A systematic review
Background Reinforcement learning (RL) is a computational approach to understanding and
automating goal-directed learning and decision-making. It is designed for problems which …
automating goal-directed learning and decision-making. It is designed for problems which …
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 …
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 …
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 …
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 …
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 …
GluNet: A deep learning framework for accurate glucose forecasting
For people with Type 1 diabetes (T1D), forecasting of blood glucose (BG) can be used to
effectively avoid hyperglycemia, hypoglycemia and associated complications. The latest …
effectively avoid hyperglycemia, hypoglycemia and associated complications. The latest …
[HTML][HTML] Advanced diabetes management using artificial intelligence and continuous glucose monitoring sensors
Wearable continuous glucose monitoring (CGM) sensors are revolutionizing the treatment of
type 1 diabetes (T1D). These sensors provide in real-time, every 1–5 min, the current blood …
type 1 diabetes (T1D). These sensors provide in real-time, every 1–5 min, the current blood …
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 …