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Utility of Big Data in Predicting Short-Term Blood Glucose Levels in Type 1 Diabetes Mellitus Through Machine Learning Techniques., , , , , and . Sensors, 19 (20): 4482 (2019)Commissioning of the Controlled and Automatized Testing Facility for Human Behavior and Control (CASITA)., , , and . Sensors, 18 (9): 2829 (2018)On the Possibility of Predicting Glycaemia 'On the Fly' with Constrained IoT Devices in Type 1 Diabetes Mellitus Patients., , , and . Sensors, 19 (20): 4538 (2019)On predicting glycaemia in type 1 diabetes mellitus patients by using support vector machines., , and . IML, page 20:1-20:2. ACM, (2017)A novel R-package graphic user interface for the analysis of metabonomic profiles., , , , , , and . BMC Bioinformatics, (2009)A Prediction Study of Path Loss Models from 2-73.5 GHz in an Urban-Macro Environment., , , , , , and . CoRR, (2015)Survivable and impairment-aware virtual topologies for reconfigurable optical networks: A cognitive approach., , , , , , , , , and 3 other author(s). ICUMT, page 793-799. IEEE, (2012)A Geometrical-Based Vertical Gain Correction for Signal Strength Prediction of Downtilted Base Station Antennas in Urban Areas., , , , , , , and . VTC Fall, page 1-5. IEEE, (2012)An Empirical Study of Urban Macro Propagation at 10, 18 and 28 GHz., , , , , and . VTC Spring, page 1-5. IEEE, (2016)Verification of 3G and 4G received power measurements in a crowdsourcing Android app., , , , and . WCNC, page 1-6. IEEE, (2016)