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

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, review some of its characteristics and compare it with other metrics derived from...

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Detalles Bibliográficos
Autores principales: Colás, Ana, Vigil, Luis, Vargas, Borja, Cuesta–Frau, David, Varela, Manuel
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2019
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6919578/
https://www.ncbi.nlm.nih.gov/pubmed/31851681
http://dx.doi.org/10.1371/journal.pone.0225817

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6919578/
https://www.ncbi.nlm.nih.gov/pubmed/31851681
http://dx.doi.org/10.1371/journal.pone.0225817

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