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 …
Artificial pancreas systems and physical activity in patients with type 1 diabetes: challenges, adopted approaches, and future perspectives
Physical activity is important for patients living with type 1 diabetes (T1D) but limited by the
challenges associated with physical activity induced glucose variability. Optimizing glycemic …
challenges associated with physical activity induced glucose variability. Optimizing glycemic …
Automatic detection and estimation of unannounced meals for multivariable artificial pancreas system
Background: Automatically attenuating the postprandial rise in the blood glucose
concentration without manual meal announcement is a significant challenge for artificial …
concentration without manual meal announcement is a significant challenge for artificial …
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 …
Multivariable artificial pancreas for various exercise types and intensities
Background: Exercise challenges people with type 1 diabetes in controlling their glucose
concentration (GC). A multivariable adaptive artificial pancreas (MAAP) may lessen the …
concentration (GC). A multivariable adaptive artificial pancreas (MAAP) may lessen the …
Predicting quality of overnight glycaemic control in type 1 diabetes using binary classifiers
In type 1 diabetes management, maintaining nocturnal blood glucose within target range
can be challenging. Although semi-automatic systems to modulate insulin pump delivery …
can be challenging. Although semi-automatic systems to modulate insulin pump delivery …
Incorporating unannounced meals and exercise in adaptive learning of personalized models for multivariable artificial pancreas systems
Background: Despite the recent advancements in the modeling of glycemic dynamics for
type 1 diabetes mellitus, automatically considering unannounced meals and exercise …
type 1 diabetes mellitus, automatically considering unannounced meals and exercise …
A new blood glucose control scheme for unannounced exercise in type 1 diabetic subjects
The artificial pancreas (AP) system or closed-loop blood glucose (BG) regulation is a
technological advancement that aims to relieve diabetic subjects from their current …
technological advancement that aims to relieve diabetic subjects from their current …
Incorporating glucose variability into glucose forecasting accuracy assessment using the new glucose variability impact index and the prediction consistency index: An …
Background: In this work, we developed glucose forecasting algorithms trained and
evaluated on a large dataset of free-living people with type 1 diabetes (T1D) using closed …
evaluated on a large dataset of free-living people with type 1 diabetes (T1D) using closed …
[HTML][HTML] Barriers and drivers regarding the use of mobile health apps among patients with type 2 diabetes mellitus in the Netherlands: explanatory sequential design …
M Bults, CM van Leersum, TJJ Olthuis… - Jmir …, 2022 - diabetes.jmir.org
Background: Self-monitoring of blood glucose levels, food intake, and physical activity
supports self-management of patients with type 2 diabetes mellitus (T2DM). There has been …
supports self-management of patients with type 2 diabetes mellitus (T2DM). There has been …