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Classification of glucose records from patients at diabetes risk using a combined permutation entropy algorithm

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Classification of glucose records from patients at diabetes risk using a combined permutation entropy algorithm

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Cuesta Frau, D.; Miró Martínez, P.; Oltra Crespo, S.; Jordán Núñez, J.; Vargas-Rojo, B.; Vigil-Medina, L. (2018). Classification of glucose records from patients at diabetes risk using a combined permutation entropy algorithm. Computer Methods and Programs in Biomedicine. 165:197-204. https://doi.org/10.1016/j.cmpb.2018.08.018

Por favor, use este identificador para citar o enlazar este ítem: http://hdl.handle.net/10251/122037

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Title: Classification of glucose records from patients at diabetes risk using a combined permutation entropy algorithm
Author:
UPV Unit: Universitat Politècnica de València. Departamento de Matemática Aplicada - Departament de Matemàtica Aplicada
Universitat Politècnica de València. Departamento de Informática de Sistemas y Computadores - Departament d'Informàtica de Sistemes i Computadors
Universitat Politècnica de València. Departamento de Estadística e Investigación Operativa Aplicadas y Calidad - Departament d'Estadística i Investigació Operativa Aplicades i Qualitat
Issued date:
Embargo end date: 2019-10-01
Abstract:
[EN] Background and objectives : The adoption in clinical practice of electronic portable blood or interstitial glucose monitors has enabled the collection, storage, and sharing of massive amounts of glucose level readings. ...[+]
Subjects: Permutation entropy , Continuous glucose monitoring , Signal classification , Diabetes
Copyrigths: Reconocimiento - No comercial - Sin obra derivada (by-nc-nd)
Source:
Computer Methods and Programs in Biomedicine. (issn: 0169-2607 )
DOI: 10.1016/j.cmpb.2018.08.018
Publisher:
Elsevier
Publisher version: http://doi.org/10.1016/j.cmpb.2018.08.018
Type: Artículo

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