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Detrended Fluctuation Analysis in the prediction of type 2 diabetes mellitus in patients at risk: Model optimization and comparison with other metrics

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Detrended Fluctuation Analysis in the prediction of type 2 diabetes mellitus in patients at risk: Model optimization and comparison with other metrics

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Colás, A.; Vigil, L.; Vargas, B.; Cuesta Frau, D.; Varela, M. (2019). Detrended Fluctuation Analysis in the prediction of type 2 diabetes mellitus in patients at risk: Model optimization and comparison with other metrics. PLoS ONE. 14(12):1-15. https://doi.org/10.1371/journal.pone.0225817

Por favor, use este identificador para citar o enlazar este ítem: http://hdl.handle.net/10251/160085

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Title: Detrended Fluctuation Analysis in the prediction of type 2 diabetes mellitus in patients at risk: Model optimization and comparison with other metrics
Author: Colás, Ana Vigil, Luis Vargas, Borja Cuesta Frau, David Varela, Manuel
UPV Unit: Universitat Politècnica de València. Departamento de Informática de Sistemas y Computadores - Departament d'Informàtica de Sistemes i Computadors
Issued date:
Abstract:
[EN] Complexity analysis of glucose time series with Detrended Fluctuation Analysis (DFA) has been proved to be useful for the prediction of type 2 diabetes mellitus (T2DM) development. We propose a modified DFA algorithm, ...[+]
Copyrigths: Reconocimiento (by)
Source:
PLoS ONE. (issn: 1932-6203 )
DOI: 10.1371/journal.pone.0225817
Publisher:
Public Library of Science
Publisher version: https://doi.org/10.1371/journal.pone.0225817
Project ID:
ISCIII/PI17/00856
Thanks:
This study has been funded by Instituto de Salud Carlos III through the project PI17/00856 (Co-funded by the European Regional Development Fund, A way to make Europe). The funders had no role in study design, data collection ...[+]
Type: Artículo

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