Identifying Differential Equations for the Prediction of Blood Glucose using Sparse Identification of Nonlinear Systems.

Keyphrases

• Best Model 33%
• Best Time 33%
• Blood Glucose 100%
• Blood Glucose Dynamics 66%
• Calories 33%
• Diabetic Patients 33%
• Differential Equations 100%
• Human Body 33%
• Influencing Variables 100%
• Insulin 33%
• Machine Learning 33%
• Medical Systems 33%
• Model Interpretation 33%
• Nonlinear System Identification 100%
• Prediction Accuracy 33%
• Sparse Identification 100%
• Sparse Identification of Nonlinear Dynamics (SINDy) 33%

Mathematics

• Diabetic Patient 33%
• Differential Equation 100%
• External Influence 66%
• Initial Value 33%
• Nonlinear System 100%
• Test Data 33%
• Time Shift 66%
• Wide Range 33%

Engineering

• Blood Glucose 100%
• Good Prediction 25%
• Initial Value 25%
• Learning System 25%
• Measured Data 50%
• Nonlinear System 100%
• Test Data 25%
• Time Shift 50%