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 …
Recent trends and techniques of blood glucose level prediction for diabetes control
Diabetes, a metabolic disorder disease, can cause short-term acute or even long-term
chronic complications in a patient's body. In 2021, 10.5% of the world's adult population had …
chronic complications in a patient's body. In 2021, 10.5% of the world's adult population had …
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 …
Blood glucose level time series forecasting: nested deep ensemble learning lag fusion
Blood glucose level prediction is a critical aspect of diabetes management. It enables
individuals to make informed decisions about their insulin dosing, diet, and physical activity …
individuals to make informed decisions about their insulin dosing, diet, and physical activity …
Deep learning and regression approaches to forecasting blood glucose levels for type 1 diabetes
Objective: Controlling blood glucose in the euglycemic range is the main goal of developing
the closed-loop insulin delivery system for type 1 diabetes patients. The closed-loop system …
the closed-loop insulin delivery system for type 1 diabetes patients. The closed-loop system …
Ensemble models of cutting-edge deep neural networks for blood glucose prediction in patients with diabetes
This article proposes two ensemble neural network-based models for blood glucose
prediction at three different prediction horizons—30, 60, and 120 min—and compares their …
prediction at three different prediction horizons—30, 60, and 120 min—and compares their …
Artificial pancreas under stable pulsatile MPC: Improving the closed-loop performance
P Abuin, PS Rivadeneira, A Ferramosca… - Journal of Process …, 2020 - Elsevier
This work presents a pulsatile Zone Model Predictive Control (pZMPC) for the control of
blood glucose concentration (BGC) in patients with Type 1 Diabetes Mellitus (T1DM). The …
blood glucose concentration (BGC) in patients with Type 1 Diabetes Mellitus (T1DM). The …
Personalized LSTM models for glucose prediction in Type 1 diabetes subjects
Blood Glucose (BG) regulation is the main challenge of Type 1 diabetes patients, that need
exogenous insulin treatments to keep BG levels under control. The Artificial Pancreas (AP) is …
exogenous insulin treatments to keep BG levels under control. The Artificial Pancreas (AP) is …
Ensemble methods in combination with compartment models for blood glucose level prediction in type 1 diabetes mellitus
Backgroung: Type 1 diabetes is a disease that adversely affects the daily life of a large
percentage of people worldwide. Daily glucose levels regulation and useful advices …
percentage of people worldwide. Daily glucose levels regulation and useful advices …
Intelligent ensemble deep learning system for blood glucose prediction using genetic algorithms
Forecasting blood glucose (BG) values for patients can help prevent hypoglycemia and
hyperglycemia events in advance. To this end, this study proposes an intelligent ensemble …
hyperglycemia events in advance. To this end, this study proposes an intelligent ensemble …