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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)

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Distributed sensor calibration and least-square parameter identification in WSNs using consensus algorithms., , , and . Allerton, page 1191-1198. IEEE, (2008)Distributed estimation through randomized gossip Kalman filter., and . CDC, page 7049-7054. IEEE, (2009)Bayesian learning of probability density functions: A Markov chain Monte Carlo approach., , and . CDC, page 1512-1517. IEEE, (2012)Linear Model Identification for Personalized Prediction and Control in Diabetes., , , , and . IEEE Trans. Biomed. Eng., 69 (2): 558-568 (2022)Gluclas: A software for computer-aided modulation of glucose infusion in glucose clamp experiments., , , , and . Comput. Methods Programs Biomed., (2022)Fault Detection in Artificial Pancreas: A Model-Free approach., , , , and . CDC, page 303-308. IEEE, (2018)Detecting failures of the glucose sensor-insulin pump system: Improved overnight safety monitoring for Type-1 diabetes., , , and . EMBC, page 4947-4950. IEEE, (2011)A PID Control Algorithm for a Post-Prandial Hypoglycemic Clamp Study., , , , and . EMBC, page 677-680. IEEE, (2021)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)Black-box Model Identification of Physical Activity in Type-l Diabetes Patients., , , , and . EMBC, page 3910-3913. IEEE, (2018)