[HTML][HTML] Data-driven modeling and prediction of blood glucose dynamics: Machine learning applications in type 1 diabetes
Background Diabetes mellitus (DM) is a metabolic disorder that causes abnormal blood
glucose (BG) regulation that might result in short and long-term health complications and …
glucose (BG) regulation that might result in short and long-term health complications and …
[HTML][HTML] Development of a deep learning model for dynamic forecasting of blood glucose level for type 2 diabetes mellitus: secondary analysis of a randomized …
Background: Type 2 diabetes mellitus (T2DM) is a major public health burden. Self-
management of diabetes including maintaining a healthy lifestyle is essential for glycemic …
management of diabetes including maintaining a healthy lifestyle is essential for glycemic …
Machine and deep learning techniques for the prediction of diabetics: a review
Diabetes has become one of the significant reasons for public sickness and death in
worldwide. By 2019, diabetes had affected more than 463 million people worldwide …
worldwide. By 2019, diabetes had affected more than 463 million people worldwide …
Glucose prediction in type 1 and type 2 diabetic patients using data driven techniques
EI Georga, VC Protopappas… - … -oriented applications in …, 2011 - books.google.com
Diabetes mellitus, commonly referred to as diabetes, is a group of metabolic diseases
characterized by high blood glucose concentrations resulting from defects in insulin …
characterized by high blood glucose concentrations resulting from defects in insulin …
[PDF][PDF] A neural network approach in predicting the blood glucose level for diabetic patients
Diabetes Mellitus is a chronic metabolic disorder, where the improper management of the
blood glucose level in the diabetic patients will lead to the risk of heart attack, kidney …
blood glucose level in the diabetic patients will lead to the risk of heart attack, kidney …
A review of model prediction in diabetes and of designing glucose regulators based on model predictive control for the artificial pancreas
K Saiti, M Macaš, K Štechová, P Pithová… - … Technology in Bio-and …, 2017 - Springer
The present work presents a comparative assessment of glucose prediction models for
diabetic patients using data from sensors monitoring blood glucose concentration as well as …
diabetic patients using data from sensors monitoring blood glucose concentration as well as …
Dengue haemorrhagic fever outbreak prediction using Elman Levenberg neural network and genetic algorithm
Dengue Hemorrhagic Fever (DHF) is a very dangerous disease and has threatened human
survival. This disease usually spreads easily and causes of death in children especially …
survival. This disease usually spreads easily and causes of death in children especially …
[HTML][HTML] A hybrid dynamic wavelet-based modeling method for blood glucose concentration prediction in type 1 diabetes
Background: Diabetes mellitus (DM) is a chronic disease that affects public health. The
prediction of blood glucose concentration (BGC) is essential to improve the therapy of type 1 …
prediction of blood glucose concentration (BGC) is essential to improve the therapy of type 1 …
Artificial intelligence for diabetes mellitus type II: forecasting and anomaly detection
Diabetes Mellitus Type II (T2D) is a Chronic Disease and is the most common type of
Diabetes in the world, responsible for 95% of all Diabetes patients. T2D is a very complex …
Diabetes in the world, responsible for 95% of all Diabetes patients. T2D is a very complex …
A toolbox to improve algorithms for insulin-dosing decision support
K Donsa, P Beck, J Plank, L Schaupp… - Applied Clinical …, 2014 - thieme-connect.com
Background: Standardized insulin order sets for subcutaneous basal-bolus insulin therapy
are recommended by clinical guidelines for the inpatient management of diabetes. The …
are recommended by clinical guidelines for the inpatient management of diabetes. The …