GLYFE: review and benchmark of personalized glucose predictive models in type 1 diabetes
Due to the sensitive nature of diabetes-related data, preventing them from being easily
shared between studies, and the wide discrepancies in their data processing pipeline …
shared between studies, and the wide discrepancies in their data processing pipeline …
Blood glucose level prediction of diabetic type 1 patients using nonlinear autoregressive neural networks
Diabetes type 1 is a chronic disease which is increasing at an alarming rate throughout the
world. Studies reveal that the complications associated with diabetes can be reduced by …
world. Studies reveal that the complications associated with diabetes can be reduced by …
Adaptive Nonlinear Model Predictive Control algorithm for blood glucose regulation in type 1 diabetic patients
AA Embaby, Z Nossair, H Badr - 2020 2nd Novel Intelligent and …, 2020 - ieeexplore.ieee.org
The pancreas of patients with Type 1 Diabetes Mellitus (T1DM) is unable to produce insulin.
Thus, insulin therapy is required for T1DM to maintain Blood Glucose (BG) levels within the …
Thus, insulin therapy is required for T1DM to maintain Blood Glucose (BG) levels within the …
Closed Loop Control of Blood Glucose Levels in Diabetes Using an Artificial Neural Network Controller
Regulating blood glucose levels (BGL) is of paramount significance for those with Type 1
Diabetes (T1D), as it can lead to severe health issues, including cardiovascular …
Diabetes (T1D), as it can lead to severe health issues, including cardiovascular …
Blood glucose level prediction with minimal inputs using feedforward neural network for diabetic type 1 patients
Introduction: Diabetes mellitus is one of the rapidly increasing diseases throughout the
world. Studies reveal that proper management of blood glucose levels can reduce the …
world. Studies reveal that proper management of blood glucose levels can reduce the …
A review of continuous blood glucose monitoring and prediction of blood glucose level for diabetes type 1 patient in different prediction horizons (ph) using artificial …
Prior blood-glucose level prediction is necessary for management of diabetes therapy.
Continuous Glucose Monitoring (CGM) data can be used to predict future blood glucose …
Continuous Glucose Monitoring (CGM) data can be used to predict future blood glucose …
[图书][B] Blood Glucose Regulation System for Type 1 Diabetic Rats by using Time Series Neural Network Based Model Predictive Control
OB Kirilmaz - 2020 - search.proquest.com
Diabetes Mellitus is a group of metabolic disorders associated with abnormally high levels of
glucose in the blood. In general, the body controls the concentration of glucose in the blood …
glucose in the blood. In general, the body controls the concentration of glucose in the blood …
Controlling Insulin Delivery in Type 1 Diabetes: A Deep Reinforcement Learning Approach
H Voß - 2024 - reposit.haw-hamburg.de
Many researchers are pursuing the goal of enabling intervention-free diabetes therapy for
diabetics. In recent years the development of a technical artificial pancreas has become …
diabetics. In recent years the development of a technical artificial pancreas has become …
Statistical Distribution of Blood Glucose Levels in Diabetic Patients Diagnosis Using ML-Based PCA Methods
A Kalra - Revolutionizing Healthcare: AI Integration with IoT for …, 2024 - Springer
Diabetes mellitus is a chronic illness that is manageable and preventable. It can seriously
harm the body and bring a great deal of issues. Therefore, it's critical to receive a diabetes …
harm the body and bring a great deal of issues. Therefore, it's critical to receive a diabetes …
Blood glucose level prediction using optimized neural network for virtual patients
Diabetes mellitus has been increasing to become one of the major and global problems.
Studies reveal that complications associated with diabetes can be reduced by the viable …
Studies reveal that complications associated with diabetes can be reduced by the viable …