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Principal component analysis in combination with case-base reasoning for detecting therapeutically correct and incorrect measurements in continuous glucose monitoring

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Principal component analysis in combination with case-base reasoning for detecting therapeutically correct and incorrect measurements in continuous glucose monitoring

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Leal, Y.; Ruiz, M.; Lorencio, C.; Bondía Company, J.; Mujica, L.; Vehi, J. (2013). Principal component analysis in combination with case-base reasoning for detecting therapeutically correct and incorrect measurements in continuous glucose monitoring. Biomedical Signal Processing and Control. 8(6):603-614. doi:10.1016/j.bspc.2013.05.008.

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Título: Principal component analysis in combination with case-base reasoning for detecting therapeutically correct and incorrect measurements in continuous glucose monitoring
Autor:
Entidad UPV: Universitat Politècnica de València. Departamento de Ingeniería de Sistemas y Automática - Departament d'Enginyeria de Sistemes i Automàtica
Universitat Politècnica de València. Instituto Universitario de Automática e Informática Industrial - Institut Universitari d'Automàtica i Informàtica Industrial
Fecha difusión:
Resumen:
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 ...[+]
Palabras clave: Case-based reasoning , Continuous glucose monitoring , Critically ill patients , Principal component analysis
Derechos de uso: Cerrado
Fuente:
Biomedical Signal Processing and Control. (issn: 1746-8094 )
DOI: 10.1016/j.bspc.2013.05.008
Editorial:
Elsevier
Versión del editor: http://dx.doi.org/10.1016/j.bspc.2013.05.008
Patrocinador:
Spanish Ministry of Science and Innovation under Grant DPI-2010-20764-C02
Autonomous Government of Catalonia under Grant 2009 SGR 523
Tipo: Artículo

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