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Recent advances in the precision control strategy of artificial pancreas
W Ming, X Guo, G Zhang, Y Liu, Y Wang… - Medical & Biological …, 2024 - Springer
The scientific diagnosis and treatment of patients with diabetes require frequent blood
glucose testing and insulin delivery to normoglycemia. Therefore, an artificial pancreas with …
glucose testing and insulin delivery to normoglycemia. Therefore, an artificial pancreas with …
Data-enabled learning and control algorithms for intelligent glucose management: The state of the art
External insulin administration is an effective way for patients with diabetes mellitus to
regulate their blood glucose. Multiple daily injections (MDIs), sensor-augmented pump …
regulate their blood glucose. Multiple daily injections (MDIs), sensor-augmented pump …
[HTML][HTML] Artificial intelligence algorithms for treatment of diabetes
Artificial intelligence (AI) algorithms can provide actionable insights for clinical decision-
making and managing chronic diseases. The treatment and management of complex …
making and managing chronic diseases. The treatment and management of complex …
[HTML][HTML] Predicting glucose level with an adapted branch predictor
T Koutny, M Mayo - Computers in Biology and Medicine, 2022 - Elsevier
Background and objective Diabetes mellitus manifests as prolonged elevated blood glucose
levels resulting from impaired insulin production. Such high glucose levels over a long …
levels resulting from impaired insulin production. Such high glucose levels over a long …
Adaptive personalized prior-knowledge-informed model predictive control for type 1 diabetes
This work considers the problem of adaptive prior-informed model predictive control (MPC)
formulations that explicitly incorporate prior knowledge in the model development and is …
formulations that explicitly incorporate prior knowledge in the model development and is …
Learning difference equations with structured grammatical evolution for postprandial glycaemia prediction
People with diabetes must carefully monitor their blood glucose levels, especially after
eating. Blood glucose management requires a proper combination of food intake and insulin …
eating. Blood glucose management requires a proper combination of food intake and insulin …
Neural component analysis for key performance indicator monitoring
Z Li, Y Wang, W Hou, S Lu, Y Xue, S Deprizon - ACS omega, 2022 - ACS Publications
The partial least squares (PLS) algorithm is a commonly used key performance indicator
(KPI)-related performance monitoring method. To address nonlinear features in the process …
(KPI)-related performance monitoring method. To address nonlinear features in the process …
Kernel-regularized latent-variable regression models for dynamic processes
Establishing relations between variables and real-time prediction of quality variables or
other key indicators are critical for dynamic processes including industrial and biological …
other key indicators are critical for dynamic processes including industrial and biological …
Improving blood glucose prediction for people with T1DM during physical activity using machine learning on participant collected data
D Oh - 2024 - munin.uit.no
For people with Type 1 Diabetes Mellitus (T1DM), engaging in physical activities (PA)
presents unique challenges. The aim of this thesis was to improve the prediction of blood …
presents unique challenges. The aim of this thesis was to improve the prediction of blood …
A practical approach based on learning-based model predictive control with minimal prior knowledge of patients for artificial pancreas
Background and objectives Complete identification of the glucose dynamics for a patient
generally requires prior clinical procedures and several measurements for the patient …
generally requires prior clinical procedures and several measurements for the patient …