AIMC Topic: Blood Glucose Self-Monitoring

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Automatic Adaptation of Basal Insulin Using Sensor-Augmented Pump Therapy.

Journal of diabetes science and technology Mar 1, 2018
BACKGROUND: People with insulin-dependent diabetes rely on an intensified insulin regimen. Despite several guidelines, they are usually impractical and fall short in achieving optimal glycemic outcomes. In this work, a novel technique for automatic a...
Humans Artificial Intelligence Algorithms Female Adult Male Adolescent Insulin Child Diabetes Mellitus, Type 1 Models, Theoretical Blood Glucose Self-Monitoring Insulin Infusion Systems
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A Neural-Network-Based Approach to Personalize Insulin Bolus Calculation Using Continuous Glucose Monitoring.

Journal of diabetes science and technology Mar 1, 2018
BACKGROUND: In type 1 diabetes (T1D) therapy, the calculation of the meal insulin bolus is performed according to a standard formula (SF) exploiting carbohydrate intake, carbohydrate-to-insulin ratio, correction factor, insulin on board, and target g...
Humans Neural Networks, Computer Blood Glucose Insulin Diabetes Mellitus, Type 1 Hypoglycemic Agents Blood Glucose Self-Monitoring Datasets as Topic
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Blood glucose level prediction based on support vector regression using mobile platforms.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Aug 1, 2016
The correct treatment of diabetes is vital to a patient's health: Staying within defined blood glucose levels prevents dangerous short- and long-term effects on the body. Mobile devices informing patients about their future blood glucose levels could...
Humans Software Algorithms Computer Simulation Blood Glucose Insulin Diabetes Mellitus, Type 1 Support Vector Machine Regression Analysis Blood Glucose Self-Monitoring
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A Risk Based Neural Network Approach for Predictive Modeling of Blood Glucose Dynamics.

Studies in health technology and informatics Jan 1, 2016
For type 1 diabetes patients, maintaining the blood glucose (BG) at normal values is a challenging task due to e.g. variable insulin reactions, diets, lifestyles, emotional conditions, etc. Hyperglycemic and hypoglycemic events can generate various c...
Humans Neural Networks, Computer Risk Assessment Blood Glucose Time Factors Diabetes Mellitus, Type 1 Hyperglycemia Blood Glucose Self-Monitoring
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Jump neural network for real-time prediction of glucose concentration.

Methods in molecular biology (Clifton, N.J.) Jan 1, 2015
Prediction of the future value of a variable is of central importance in a wide variety of fields, including economy and finance, meteorology, informatics, and, last but not least important, medicine. For example, in the therapy of Type 1 Diabetes (T...
Humans Neural Networks, Computer Algorithms Computer Simulation Blood Glucose Diabetes Mellitus, Type 1 Blood Glucose Self-Monitoring Nonlinear Dynamics Dietary Carbohydrates
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