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Individual Categorisation of Glucose Profiles Using Compositional Data Analysis

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Individual Categorisation of Glucose Profiles Using Compositional Data Analysis

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Biagi, L.; Bertachi, A.; Giménez, M.; Conget, I.; Bondía Company, J.; Martín-Fernández, JA.; Vehí, J. (2019). Individual Categorisation of Glucose Profiles Using Compositional Data Analysis. Statistical Methods in Medical Research. 28(12):3550-3567. https://doi.org/10.1177/0962280218808819

Por favor, use este identificador para citar o enlazar este ítem: http://hdl.handle.net/10251/147749

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Title: Individual Categorisation of Glucose Profiles Using Compositional Data Analysis
Author: Biagi, L. Bertachi, A. Giménez, M. Conget, I. Bondía Company, Jorge Martín-Fernández, Josep Antoni Vehí, Josep
UPV Unit: Universitat Politècnica de València. Departamento de Ingeniería de Sistemas y Automática - Departament d'Enginyeria de Sistemes i Automàtica
Issued date:
Abstract:
[EN] The aim of this study was to apply a methodology based on compositional data analysis (CoDA) to categorise glucose profiles obtained from continuous glucose monitoring systems. The methodology proposed considers ...[+]
Subjects: Continuous glucose monitoring , Type 1 diabetes , Compositional data analysis , Decision support system , Diabetes management
Copyrigths: Cerrado
Source:
Statistical Methods in Medical Research. (issn: 0962-2802 )
DOI: 10.1177/0962280218808819
Publisher:
SAGE Publications
Publisher version: https://doi.org/10.1177/0962280218808819
Project ID:
CNPq/202050/2015-7
MINECO/DPI2016-78831-C2-1-R
MINECO/DPI2016-78831-C2-2-R
CNPq/207688/2014-1
Thanks:
The author(s) disclosed receipt of the following financial support for the research, authorship, and/or publication of this article: This project has been partially supported by the Spanish Government MINECO through Grants ...[+]
Type: Artículo

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