Continuous-time interval model identification of blood glucose dynamics for type 1 diabetes

Keyphrases

• Model Identification 100%
• Type 1 Diabetes Mellitus (T1DM) 100%
• Type I Diabetes 100%
• Parameter Estimation 100%
• Interval Model 100%
• Blood Glucose Dynamics 100%
• Continuous-time 100%
• Time Interval Model 100%
• Data-driven Modeling 50%
• Direct Estimation 50%
• Regular Estimation 50%
• Control-oriented Model 50%
• Continuous-time Identification 50%
• Inter-patient Variability 50%
• Model Estimation 50%
• Patient-specific Model 50%
• Clinical Measurement 50%
• Type 1 Diabetic Patient 50%
• Glucose Metabolism 50%
• Metabolic Conditions 50%
• Physiological Model 50%
• Insulin Bolus Calculator 50%
• Insulin Sensitivity Factor 50%
• Identification Method 50%
• Clinical Datasets 50%
• Life Data 50%
• Results Validation 50%
• Pre-diabetes (pre-DM) 50%
• Irregular Schedules 50%

Mathematics

• Diabetic Patient 100%
• Continuous Time 100%
• Parameter Estimate 50%
• Real Data 50%
• Everyday Life 50%

Computer Science

• Continuous Time 100%
• Identification Model 100%
• Clinical Data 50%
• Parameter Estimate 50%