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Interpreting blood GLUcose data with R package iglu

Continuous Glucose Monitoring (CGM) data play an increasing role in clinical practice as they provide detailed quantification of blood glucose levels during the entire 24-hour period. The R package iglu implements a wide range of CGM-derived metrics for measuring glucose control and glucose variabil...

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Detalles Bibliográficos
Autores principales: Broll, Steven, Urbanek, Jacek, Buchanan, David, Chun, Elizabeth, Muschelli, John, Punjabi, Naresh M., Gaynanova, Irina
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8016265/
https://www.ncbi.nlm.nih.gov/pubmed/33793578
http://dx.doi.org/10.1371/journal.pone.0248560
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author Broll, Steven
Urbanek, Jacek
Buchanan, David
Chun, Elizabeth
Muschelli, John
Punjabi, Naresh M.
Gaynanova, Irina
author_facet Broll, Steven
Urbanek, Jacek
Buchanan, David
Chun, Elizabeth
Muschelli, John
Punjabi, Naresh M.
Gaynanova, Irina
author_sort Broll, Steven
collection PubMed
description Continuous Glucose Monitoring (CGM) data play an increasing role in clinical practice as they provide detailed quantification of blood glucose levels during the entire 24-hour period. The R package iglu implements a wide range of CGM-derived metrics for measuring glucose control and glucose variability. The package also allows one to visualize CGM data using time-series and lasagna plots. A distinct advantage of iglu is that it comes with a point-and-click graphical user interface (GUI) which makes the package widely accessible to users regardless of their programming experience. Thus, the open-source and easy to use iglu package will help advance CGM research and CGM data analyses. R package iglu is publicly available on CRAN and at https://github.com/irinagain/iglu.
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spelling pubmed-80162652021-04-08 Interpreting blood GLUcose data with R package iglu Broll, Steven Urbanek, Jacek Buchanan, David Chun, Elizabeth Muschelli, John Punjabi, Naresh M. Gaynanova, Irina PLoS One Research Article Continuous Glucose Monitoring (CGM) data play an increasing role in clinical practice as they provide detailed quantification of blood glucose levels during the entire 24-hour period. The R package iglu implements a wide range of CGM-derived metrics for measuring glucose control and glucose variability. The package also allows one to visualize CGM data using time-series and lasagna plots. A distinct advantage of iglu is that it comes with a point-and-click graphical user interface (GUI) which makes the package widely accessible to users regardless of their programming experience. Thus, the open-source and easy to use iglu package will help advance CGM research and CGM data analyses. R package iglu is publicly available on CRAN and at https://github.com/irinagain/iglu. Public Library of Science 2021-04-01 /pmc/articles/PMC8016265/ /pubmed/33793578 http://dx.doi.org/10.1371/journal.pone.0248560 Text en © 2021 Broll et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Broll, Steven
Urbanek, Jacek
Buchanan, David
Chun, Elizabeth
Muschelli, John
Punjabi, Naresh M.
Gaynanova, Irina
Interpreting blood GLUcose data with R package iglu
title Interpreting blood GLUcose data with R package iglu
title_full Interpreting blood GLUcose data with R package iglu
title_fullStr Interpreting blood GLUcose data with R package iglu
title_full_unstemmed Interpreting blood GLUcose data with R package iglu
title_short Interpreting blood GLUcose data with R package iglu
title_sort interpreting blood glucose data with r package iglu
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8016265/
https://www.ncbi.nlm.nih.gov/pubmed/33793578
http://dx.doi.org/10.1371/journal.pone.0248560
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