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In-silico Assessment of Preventive Hypotreatment Efficacy and Development of a Continuous Glucose Monitoring Based Algorithm to Prevent/Mitigate Hypoglycemia in Type 1 Diabetes.

, , , , , и . EMBC, стр. 4133-4136. IEEE, (2019)

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A Personalized and Adaptive Insulin Bolus Calculator Based on Double Deep Q- Learning to Improve Type 1 Diabetes Management., , , , и . IEEE J. Biomed. Health Informatics, 27 (5): 2536-2544 (мая 2023)A New Decision Support System for Type 1 Diabetes Management., , , , , и . EMBC, стр. 1993-1996. IEEE, (2021)A Deep-Learning Based Algorithm for the Management of Hyperglycemia in Type 1 Diabetes Therapy., , , , и . BSN, стр. 1-4. IEEE, (2023)Optimizing Remote Health Monitoring for Digital Platforms: Evaluating the Efficacy of Gamification in Enhancing Data Collection., , и . MIE, том 316 из Studies in Health Technology and Informatics, стр. 442-446. IOS Press, (2024)An Ensemble Learning Algorithm Based on Dynamic Voting for Targeting the Optimal Insulin Dosage in Type 1 Diabetes Management., , , и . EMBC, стр. 1828-1831. IEEE, (2021)System Architecture of TWIN: A New Digital Twin-Based Clinical Decision Support System for Type 1 Diabetes Management in Children., , , , , , , и . BSN, стр. 1-4. IEEE, (2023)Nonlinear Machine Learning Models for Insulin Bolus Estimation in Type 1 Diabetes Therapy., , , , и . EMBC, стр. 5502-5505. IEEE, (2020)A Personalized and Interpretable Deep Learning Based Approach to Predict Blood Glucose Concentration in Type 1 Diabetes., , , , , , и . KDH@ECAI, том 2675 из CEUR Workshop Proceedings, стр. 75-79. CEUR-WS.org, (2020)Personalized Machine Learning Algorithm based on Shallow Network and Error Imputation Module for an Improved Blood Glucose Prediction., , , , , , и . KDH@ECAI, том 2675 из CEUR Workshop Proceedings, стр. 95-99. CEUR-WS.org, (2020)A Bayesian Framework to Identify Type 1 Diabetes Physiological Models Using Easily Accessible Patient Data., , , и . EMBC, стр. 6914-6917. IEEE, (2019)