21 results on '"Andrea Facchinetti"'
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2. An Ensemble Learning Algorithm Based on Dynamic Voting for Targeting the Optimal Insulin Dosage in Type 1 Diabetes Management.
3. A Mathematical Formula to Determine the Minimum Continuous Glucose Monitoring Duration to Assess Time-in-ranges: Sensitivity Analysis Over the Parameters.
4. A New Decision Support System for Type 1 Diabetes Management.
5. A Correction Insulin Bolus Delivery Strategy for Decision Support Systems in Type 1 Diabetes.
6. Nonlinear Machine Learning Models for Insulin Bolus Estimation in Type 1 Diabetes Therapy.
7. In-silico Assessment of Preventive Hypotreatment Efficacy and Development of a Continuous Glucose Monitoring Based Algorithm to Prevent/Mitigate Hypoglycemia in Type 1 Diabetes.
8. Modeling the error of factory-calibrated continuous glucose monitoring sensors: application to Dexcom G6 sensor data.
9. A Bayesian Framework to Identify Type 1 Diabetes Physiological Models Using Easily Accessible Patient Data.
10. Importance of Recalibrating Models for Type 2 Diabetes Onset Prediction: Application of the Diabetes Population Risk Tool on the Health and Retirement Study.
11. Optimal Insulin Bolus Dosing in Type 1 Diabetes Management: Neural Network Approach Exploiting CGM Sensor Information.
12. Bayesian Model Selection Framework to Improve Calibration of Continuous Glucose Monitoring Sensors for Diabetes Management.
13. Non-Invasive Continuous-Time Blood Pressure Estimation from a Single Channel PPG Signal using Regularized ARX Models.
14. Accuracy of devices for self-monitoring of blood glucose: A stochastic error model.
15. A Bayesian Network analysis of the probabilistic relations between risk factors in the predisposition to type 2 diabetes.
16. Patient decision-making of CGM sensor driven insulin therapies in type 1 diabetes: In silico assessment.
17. Sparse Principal Component Analysis for the parsimonious description of glucose variability in diabetes.
18. Detecting failures of the glucose sensor-insulin pump system: Improved overnight safety monitoring for Type-1 diabetes.
19. Assessment of linear regression techniques for modeling multisensor data for non-invasive continuous glucose monitoring.
20. A new neural network approach for short-term glucose prediction using continuous glucose monitoring time-series and meal information.
21. Reconstructing by Deconvolution Plasma Glucose from Continuous Glucose Monitoring Sensor Data.
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