Enhancing self-management in type 1 diabetes with wearables and deep learning
People living with type 1 diabetes (T1D) require lifelong self-management to maintain
glucose levels in a safe range. Failure to do so can lead to adverse glycemic events with …
glucose levels in a safe range. Failure to do so can lead to adverse glycemic events with …
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 …
Chinese diabetes datasets for data-driven machine learning
Q Zhao, J Zhu, X Shen, C Lin, Y Zhang, Y Liang, B Cao… - Scientific Data, 2023 - nature.com
Data of the diabetes mellitus patients is essential in the study of diabetes management,
especially when employing the data-driven machine learning methods into the …
especially when employing the data-driven machine learning methods into the …
A Comprehensive Study of Deep Learning Techniques to Predict Dissimilar Diseases in Diabetes Mellitus Using IoT
R Balaraju, K Lakshmanna - Recent Advances in Computer …, 2024 - benthamdirect.com
India has evaluated 77 million people with diabetes, which makes it the second most
elaborated disease in the world. Diabetes is a chronic syndrome that occurs with increased …
elaborated disease in the world. Diabetes is a chronic syndrome that occurs with increased …
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 …
Blood glucose prediction in type 1 diabetes using deep learning on the edge
Real-time blood glucose (BG) prediction can enhance decision support systems for insulin
dosing such as bolus calculators and closed-loop systems for insulin delivery. Deep …
dosing such as bolus calculators and closed-loop systems for insulin delivery. Deep …
Glugan: generating personalized glucose time series using generative adversarial networks
Time series data generated by continuous glucose monitoring sensors offer unparalleled
opportunities for developing data-driven approaches, especially deep learning-based …
opportunities for developing data-driven approaches, especially deep learning-based …
Blood glucose prediction with deep neural networks using weighted decision level fusion
Abstract Background and Objective: Diabetes mellitus is a chronic disease that requires
regular monitoring of blood glucose in the circulatory system. If the amount of glucose in the …
regular monitoring of blood glucose in the circulatory system. If the amount of glucose in the …
[HTML][HTML] Advancing blood glucose prediction with neural architecture search and deep reinforcement learning for type 1 diabetics
For individuals with Type-1 diabetes mellitus, accurate prediction of future blood glucose
values is crucial to aid its regulation with insulin administration, tailored to the individual's …
values is crucial to aid its regulation with insulin administration, tailored to the individual's …