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A Deep-Learning Based Algorithm for the Management of Hyperglycemia in Type 1 Diabetes Therapy.

, , , , and . BSN, page 1-4. IEEE, (2023)

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A Personalized and Adaptive Insulin Bolus Calculator Based on Double Deep Q- Learning to Improve Type 1 Diabetes Management., , , , and . IEEE J. Biomed. Health Informatics, 27 (5): 2536-2544 (May 2023)A New Decision Support System for Type 1 Diabetes Management., , , , , and . EMBC, page 1993-1996. IEEE, (2021)A Deep-Learning Based Algorithm for the Management of Hyperglycemia in Type 1 Diabetes Therapy., , , , and . BSN, page 1-4. IEEE, (2023)A Correction Insulin Bolus Delivery Strategy for Decision Support Systems in Type 1 Diabetes., , , , and . EMBC, page 1832-1835. IEEE, (2021)In-silico Assessment of Preventive Hypotreatment Efficacy and Development of a Continuous Glucose Monitoring Based Algorithm to Prevent/Mitigate Hypoglycemia in Type 1 Diabetes., , , , , and . EMBC, page 4133-4136. IEEE, (2019)Nonlinear Machine Learning Models for Insulin Bolus Estimation in Type 1 Diabetes Therapy., , , , and . EMBC, page 5502-5505. IEEE, (2020)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)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)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)