AIMC Topic: 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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