Using Support Vector Machines to Detect Therapeutically Incorrect Measurements by the MiniMed CGMS®

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Using support vector machines to detect therapeutically incorrect measurements by the MiniMed CGMS

Introductory Experience with the Continuous Glucose Monitoring System (CGMS®; Medtronic Minimed®) in Detecting Hyperglycemia by Comparing the Self-Monitoring of Blood Glucose (SMBG) in Non-Pregnant Women and in Pregnant Women with Impaired Glucose Tolerance and Gestational Diabetes

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A learning system for error detection in subcutaneous continuous glucose measurement using Support Vector Machines

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Detection of Correct and Incorrect Measurements in Real-Time Continuous Glucose Monitoring Systems by Applying a Postprocessing Support Vector Machine

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Simple Linear Support Vector Machine Classifier Can Distinguish Impaired Glucose Tolerance Versus Type 2 Diabetes Using a Reduced Set of CGM-Based Glycemic Variability Indices

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“Glucose-at-a-Glance”

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A Novel Method to Detect Pressure-Induced Sensor Attenuations (PISA) in an Artificial Pancreas

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Evaluating the Clinical Accuracy of GlucoMen®Day: A Novel Microdialysis-Based Continuous Glucose Monitor

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