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Neural Network for Prediction of Glucose Concentration in Type 1 Diabetic Patients.

, , , and . SCAI, volume 257 of Frontiers in Artificial Intelligence and Applications, page 303-306. IOS Press, (2013)

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Detecting failures of the glucose sensor-insulin pump system: Improved overnight safety monitoring for Type-1 diabetes., , , and . EMBC, page 4947-4950. IEEE, (2011)Sparse Principal Component Analysis for the parsimonious description of glucose variability in diabetes., , , and . EMBC, page 6643-6646. IEEE, (2014)System Architecture of TWIN: A New Digital Twin-Based Clinical Decision Support System for Type 1 Diabetes Management in Children., , , , , , , and . BSN, page 1-4. IEEE, (2023)A Mathematical Formula to Determine the Minimum Continuous Glucose Monitoring Duration to Assess Time-in-ranges: Sensitivity Analysis Over the Parameters., , , , , , and . EMBC, page 1435-1438. IEEE, (2021)An Ensemble Learning Algorithm Based on Dynamic Voting for Targeting the Optimal Insulin Dosage in Type 1 Diabetes Management., , , and . EMBC, page 1828-1831. IEEE, (2021)Decrease of EEG Coherence during hypoglycemia in type 1 diabetic subjects., , , , and . EMBC, page 2375-2378. IEEE, (2015)Bayesian Model Selection Framework to Improve Calibration of Continuous Glucose Monitoring Sensors for Diabetes Management., , , and . EMBC, page 29-32. IEEE, (2018)Detecting Undiagnosed Diabetes: Proof-of-Concept Based on the Health-Information Exchange System of the Veneto Region (North-East Italy)., , , , , , and . EMBC, page 4293-4296. IEEE, (2019)Nonlinear Machine Learning Models for Insulin Bolus Estimation in Type 1 Diabetes Therapy., , , , and . EMBC, page 5502-5505. IEEE, (2020)Effect of Clinical History on Predictive Model Performance for Renal Complications of Diabetes., , , , and . CoRR, (2024)