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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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A new neural network approach for short-term glucose prediction using continuous glucose monitoring time-series and meal information., , , , and . EMBC, page 5653-5656. IEEE, (2011)Modeling the Error of the Medtronic Paradigm Veo Enlite Glucose Sensor., , , , and . Sensors, 17 (6): 1361 (2017)An Online Failure Detection Method of the Glucose Sensor-Insulin Pump System: Improved Overnight Safety of Type-1 Diabetic Subjects., , , and . IEEE Trans. Biomed. Eng., 60 (2): 406-416 (2013)Detection of compression artifacts in time-series data from continuous glucose monitoring sensors using matched filters., , , , and . BSN, page 1-4. IEEE, (2023)Data Gap Modeling in Continuous Glucose Monitoring Sensor Data., , , , and . EMBC, page 4379-4382. IEEE, (2021)A Personalized and Interpretable Deep Learning Based Approach to Predict Blood Glucose Concentration in Type 1 Diabetes., , , , , , and . KDH@ECAI, volume 2675 of CEUR Workshop Proceedings, page 75-79. CEUR-WS.org, (2020)Personalized Machine Learning Algorithm based on Shallow Network and Error Imputation Module for an Improved Blood Glucose Prediction., , , , , , and . KDH@ECAI, volume 2675 of CEUR Workshop Proceedings, page 95-99. CEUR-WS.org, (2020)Optimal Insulin Bolus Dosing in Type 1 Diabetes Management: Neural Network Approach Exploiting CGM Sensor Information., , , , and . EMBC, page 1-4. IEEE, (2018)A Bayesian Framework to Identify Type 1 Diabetes Physiological Models Using Easily Accessible Patient Data., , , and . EMBC, page 6914-6917. IEEE, (2019)A New Decision Support System for Type 1 Diabetes Management., , , , , and . EMBC, page 1993-1996. IEEE, (2021)