[HTML][HTML] Forecasting of glucose levels and hypoglycemic events: head-to-head comparison of linear and nonlinear data-driven algorithms based on continuous …
In type 1 diabetes management, the availability of algorithms capable of accurately
forecasting future blood glucose (BG) concentrations and hypoglycemic episodes could …
forecasting future blood glucose (BG) concentrations and hypoglycemic episodes could …
Blood glucose level prediction: advanced deep-ensemble learning approach
Optimal and sustainable control of blood glucose levels (BGLs) is the aim of type-1 diabetes
management. The automated prediction of BGL using machine learning (ML) algorithms is …
management. The automated prediction of BGL using machine learning (ML) algorithms is …
[HTML][HTML] An insulin bolus advisor for type 1 diabetes using deep reinforcement learning
(1) Background: People living with type 1 diabetes (T1D) require self-management to
maintain blood glucose (BG) levels in a therapeutic range through the delivery of exogenous …
maintain blood glucose (BG) levels in a therapeutic range through the delivery of exogenous …
[HTML][HTML] Deep physiological model for blood glucose prediction in T1DM patients
M Munoz-Organero - Sensors, 2020 - mdpi.com
Accurate estimations for the near future levels of blood glucose are crucial for Type 1
Diabetes Mellitus (T1DM) patients in order to be able to react on time and avoid hypo and …
Diabetes Mellitus (T1DM) patients in order to be able to react on time and avoid hypo and …
A multitask learning approach to personalized blood glucose prediction
Blood glucose prediction algorithms are key tools in the development of decision support
systems and closed-loop insulin delivery systems for blood glucose control in diabetes …
systems and closed-loop insulin delivery systems for blood glucose control in diabetes …
Impact of nutritional factors in blood glucose prediction in type 1 diabetes through machine learning
G Annuzzi, A Apicella, P Arpaia, L Bozzetto… - IEEE …, 2023 - ieeexplore.ieee.org
Type 1 Diabetes (T1D) is an autoimmune disease that affects millions of people worldwide.
A critical issue in T1D patients is the managing of Postprandial Glucose Response (PGR) …
A critical issue in T1D patients is the managing of Postprandial Glucose Response (PGR) …
Modeling risk of hypoglycemia during and following physical activity in people with type 1 diabetes using explainable mixed-effects machine learning
C Mosquera-Lopez, KL Ramsey… - Computers in Biology …, 2023 - Elsevier
Background Physical activity (PA) can cause increased hypoglycemia (glucose< 70 mg/dL)
risk in people with type 1 diabetes (T1D). We modeled the probability of hypoglycemia …
risk in people with type 1 diabetes (T1D). We modeled the probability of hypoglycemia …
Diagnosing diabetes mellitus using machine learning techniques
Diabetes Mellitus (DM) is a frequent condition in which the body's sugar levels are
abnormally high for an extended length of time. It is a major cause of death with high …
abnormally high for an extended length of time. It is a major cause of death with high …
Long-term prediction of blood glucose levels in type 1 diabetes using a cnn-lstm-based deep neural network
Background: In this work, we leverage state-of-the-art deep learning–based algorithms for
blood glucose (BG) forecasting in people with type 1 diabetes. Methods: We propose stacks …
blood glucose (BG) forecasting in people with type 1 diabetes. Methods: We propose stacks …
iGLU 3.0: A secure noninvasive glucometer and automatic insulin delivery system in IoMT
Consumer technologies have changed human life through various products for smart
healthcare management. The evaluation of Internet-of-Medical-Things (IoMT) has provided …
healthcare management. The evaluation of Internet-of-Medical-Things (IoMT) has provided …