Andrea Facchinetti
Orcid: 0000-0001-8041-2280
According to our database1,
Andrea Facchinetti
authored at least 74 papers
between 2006 and 2023.
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Bibliography
2023
A model to forecast the two-year variation of subjective wellbeing in the elderly population.
BMC Medical Informatics Decis. Mak., December, 2023
ReplayBG: A Digital Twin-Based Methodology to Identify a Personalized Model From Type 1 Diabetes Data and Simulate Glucose Concentrations to Assess Alternative Therapies.
IEEE Trans. Biomed. Eng., November, 2023
Individualized Models for Glucose Prediction in Type 1 Diabetes: Comparing Black-Box Approaches to a Physiological White-Box One.
IEEE Trans. Biomed. Eng., November, 2023
A Markov Model of Gap Occurrence in Continuous Glucose Monitoring Data for Realistic in Silico Clinical Trials.
Comput. Methods Programs Biomed., October, 2023
A Personalized and Adaptive Insulin Bolus Calculator Based on Double Deep Q- Learning to Improve Type 1 Diabetes Management.
IEEE J. Biomed. Health Informatics, May, 2023
Incorporating Sparse and Quantized Carbohydrates Suggestions in Model Predictive Control for Artificial Pancreas in Type 1 Diabetes.
IEEE Trans. Control. Syst. Technol., March, 2023
A Deep-Learning Based Algorithm for the Management of Hyperglycemia in Type 1 Diabetes Therapy.
Proceedings of the 19th IEEE International Conference on Body Sensor Networks, 2023
Detection of compression artifacts in time-series data from continuous glucose monitoring sensors using matched filters.
Proceedings of the 19th IEEE International Conference on Body Sensor Networks, 2023
System Architecture of TWIN: A New Digital Twin-Based Clinical Decision Support System for Type 1 Diabetes Management in Children.
Proceedings of the 19th IEEE International Conference on Body Sensor Networks, 2023
2022
IEEE Trans. Biomed. Eng., 2022
Assessment of Seasonal Stochastic Local Models for Glucose Prediction without Meal Size Information under Free-Living Conditions.
Sensors, 2022
Super-twisting-based meal detector for type 1 diabetes management: Improvement and assessment in a real-life scenario.
Comput. Methods Programs Biomed., 2022
Generation of post-meal insulin correction boluses in type 1 diabetes simulation models for <i>in-silico</i> clinical trials: More realistic scenarios obtained using a decision tree approach.
Comput. Methods Programs Biomed., 2022
2021
Machine-Learning Based Model to Improve Insulin Bolus Calculation in Type 1 Diabetes Therapy.
IEEE Trans. Biomed. Eng., 2021
Model-Based Detection and Classification of Insulin Pump Faults and Missed Meal Announcements in Artificial Pancreas Systems for Type 1 Diabetes Therapy.
IEEE Trans. Biomed. Eng., 2021
Forecasting of Glucose Levels and Hypoglycemic Events: Head-to-Head Comparison of Linear and Nonlinear Data-Driven Algorithms Based on Continuous Glucose Monitoring Data Only.
Sensors, 2021
An Ensemble Learning Algorithm Based on Dynamic Voting for Targeting the Optimal Insulin Dosage in Type 1 Diabetes Management.
Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021
Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021
A Correction Insulin Bolus Delivery Strategy for Decision Support Systems in Type 1 Diabetes.
Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021
Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021
A Mathematical Formula to Determine the Minimum Continuous Glucose Monitoring Duration to Assess Time-in-ranges: Sensitivity Analysis Over the Parameters.
Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021
Predicting hypertension onset using logistic regression models with labs and/or easily accessible variables: the role of blood pressure measurements.
Proceedings of the IEEE EMBS International Conference on Biomedical and Health Informatics, 2021
2020
Advanced Diabetes Management Using Artificial Intelligence and Continuous Glucose Monitoring Sensors.
Sensors, 2020
Nonlinear Machine Learning Models for Insulin Bolus Estimation in Type 1 Diabetes Therapy.
Proceedings of the 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2020
Personalized Machine Learning Algorithm based on Shallow Network and Error Imputation Module for an Improved Blood Glucose Prediction.
Proceedings of the 5th International Workshop on Knowledge Discovery in Healthcare Data co-located with 24th European Conference on Artificial Intelligence, 2020
A Personalized and Interpretable Deep Learning Based Approach to Predict Blood Glucose Concentration in Type 1 Diabetes.
Proceedings of the 5th International Workshop on Knowledge Discovery in Healthcare Data co-located with 24th European Conference on Artificial Intelligence, 2020
2019
IEEE J. Biomed. Health Informatics, 2019
Development of an Error Model for a Factory-Calibrated Continuous Glucose Monitoring Sensor with 10-Day Lifetime.
Sensors, 2019
Classification of Postprandial Glycemic Status with Application to Insulin Dosing in Type 1 Diabetes - An In Silico Proof-of-Concept.
Sensors, 2019
Retrospective Continuous-Time Blood Glucose Estimation in Free Living Conditions with a Non-Invasive Multisensor Device.
Sensors, 2019
What do healthcare professionals need to turn risk models for type 2 diabetes into usable computerized clinical decision support systems? Lessons learned from the MOSAIC project.
BMC Medical Informatics Decis. Mak., 2019
Modeling the error of factory-calibrated continuous glucose monitoring sensors: application to Dexcom G6 sensor data.
Proceedings of the 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2019
A Bayesian Framework to Identify Type 1 Diabetes Physiological Models Using Easily Accessible Patient Data.
Proceedings of the 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2019
In-silico Assessment of Preventive Hypotreatment Efficacy and Development of a Continuous Glucose Monitoring Based Algorithm to Prevent/Mitigate Hypoglycemia in Type 1 Diabetes.
Proceedings of the 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2019
2018
Type-1 Diabetes Patient Decision Simulator for In Silico Testing Safety and Effectiveness of Insulin Treatments.
IEEE Trans. Biomed. Eng., 2018
Reduction of Blood Glucose Measurements to Calibrate Subcutaneous Glucose Sensors: A Bayesian Multiday Framework.
IEEE Trans. Biomed. Eng., 2018
Glycaemic variability-based classification of impaired glucose tolerance vs. type 2 diabetes using continuous glucose monitoring data.
Comput. Biol. Medicine, 2018
Importance of Recalibrating Models for Type 2 Diabetes Onset Prediction: Application of the Diabetes Population Risk Tool on the Health and Retirement Study.
Proceedings of the 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2018
Optimal Insulin Bolus Dosing in Type 1 Diabetes Management: Neural Network Approach Exploiting CGM Sensor Information.
Proceedings of the 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2018
Bayesian Model Selection Framework to Improve Calibration of Continuous Glucose Monitoring Sensors for Diabetes Management.
Proceedings of the 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2018
Non-Invasive Continuous-Time Blood Pressure Estimation from a Single Channel PPG Signal using Regularized ARX Models.
Proceedings of the 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2018
2017
Sensors, 2017
A telemonitoring service supporting preterm newborns care in a neonatal intensive care unit.
Proceedings of the 3rd IEEE International Forum on Research and Technologies for Society and Industry, 2017
2016
Online Calibration of Glucose Sensors From the Measured Current by a Time-Varying Calibration Function and Bayesian Priors.
IEEE Trans. Biomed. Eng., 2016
Continuous Glucose Monitoring Sensors: Past, Present and Future Algorithmic Challenges.
Sensors, 2016
2015
Model of glucose sensor error components: identification and assessment for new Dexcom G4 generation devices.
Medical Biol. Eng. Comput., 2015
Patient decision-making of CGM sensor driven insulin therapies in type 1 diabetes: In silico assessment.
Proceedings of the 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2015
Proceedings of the 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2015
A Bayesian Network analysis of the probabilistic relations between risk factors in the predisposition to type 2 diabetes.
Proceedings of the 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2015
A Bayesian Network for Probabilistic Reasoning and Imputation of Missing Risk Factors in Type 2 Diabetes.
Proceedings of the Artificial Intelligence in Medicine, 2015
2014
Improving Accuracy and Precision of Glucose Sensor Profiles: Retrospective Fitting by Constrained Deconvolution.
IEEE Trans. Biomed. Eng., 2014
Jump neural network for online short-time prediction of blood glucose from continuous monitoring sensors and meal information.
Comput. Methods Programs Biomed., 2014
Sparse Principal Component Analysis for the parsimonious description of glucose variability in diabetes.
Proceedings of the 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2014
Can continuous glucose monitoring identify risk factors in type 1 and type 2 diabetes? A literature review.
Proceedings of IEEE-EMBS International Conference on Biomedical and Health Informatics, 2014
2013
An Online Failure Detection Method of the Glucose Sensor-Insulin Pump System: Improved Overnight Safety of Type-1 Diabetic Subjects.
IEEE Trans. Biomed. Eng., 2013
Non-Invasive Continuous Glucose Monitoring with Multi-Sensor Systems: A Monte Carlo-Based Methodology for Assessing Calibration Robustness.
Sensors, 2013
Regularised Model Identification Improves Accuracy of Multisensor Systems for Noninvasive Continuous Glucose Monitoring in Diabetes Management.
J. Appl. Math., 2013
Proceedings of the Twelfth Scandinavian Conference on Artificial Intelligence, 2013
2012
Neural Network Incorporating Meal Information Improves Accuracy of Short-Time Prediction of Glucose Concentration.
IEEE Trans. Biomed. Eng., 2012
Enhancing the Accuracy of Subcutaneous Glucose Sensors: A Real-Time Deconvolution-Based Approach.
IEEE Trans. Biomed. Eng., 2012
IEEE Trans. Biomed. Eng., 2012
Italian Contributions to the Development of Continuous Glucose Monitoring Sensors for Diabetes Management.
Sensors, 2012
Non-invasive continuous glucose monitoring: improved accuracy of point and trend estimates of the Multisensor system.
Medical Biol. Eng. Comput., 2012
Argot2: a large scale function prediction tool relying on semantic similarity of weighted Gene Ontology terms.
BMC Bioinform., 2012
2011
Online Denoising Method to Handle Intraindividual Variability of Signal-to-Noise Ratio in Continuous Glucose Monitoring.
IEEE Trans. Biomed. Eng., 2011
A new neural network approach for short-term glucose prediction using continuous glucose monitoring time-series and meal information.
Proceedings of the 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2011
Assessment of linear regression techniques for modeling multisensor data for non-invasive continuous glucose monitoring.
Proceedings of the 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2011
Detecting failures of the glucose sensor-insulin pump system: Improved overnight safety monitoring for Type-1 diabetes.
Proceedings of the 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2011
2010
IEEE Trans. Biomed. Eng., 2010
Sensors, 2010
2007
Glucose Concentration can be Predicted Ahead in Time From Continuous Glucose Monitoring Sensor Time-Series.
IEEE Trans. Biomed. Eng., 2007
2006
Reconstructing by Deconvolution Plasma Glucose from Continuous Glucose Monitoring Sensor Data.
Proceedings of the 28th International Conference of the IEEE Engineering in Medicine and Biology Society, 2006