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Detection of correct and incorrect measurements in real-time continuous glucose monitoring systems applying a postprocessing support vector machine

Leal, Yenny; GONZALEZ-ABRIL, LUIS; Lorencio, Carol; Bondía Company, Jorge; Vehí, Josep (Institute of Electrical and Electronics Engineers, 2013-07)

[EN] Support vector machines (SVMs) are an attractive option for detecting correct and incorrect measurements in real-time continuous glucose monitoring systems (RTCGMSs), because their learning mechanism can introduce a ...
Principal component analysis in combination with case-base reasoning for detecting therapeutically correct and incorrect measurements in continuous glucose monitoring

Leal, Yenny; Ruiz, Magda; Lorencio, Carol; Bondía Company, Jorge; Mujica, Luis; Vehi, Josep (Elsevier, 2013-07-02)

This paper introduces a data-driven methodology for detecting therapeutically correct and incorrect measurements in continuous glucose monitoring systems (CGMSs) in an intensive care unit (ICU). The data collected from ...

Mostrando ítems 1-2 de 2