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Interpreting blood GLUcose data with R package iglu.

Steven BrollJacek UrbanekDavid BuchananElizabeth ChunJohn MuschelliNaresh M PunjabiIrina Gaynanova
Published in: PloS one (2021)
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.
Keyphrases
  • blood glucose
  • electronic health record
  • glycemic control
  • blood pressure
  • big data
  • clinical practice
  • type diabetes
  • metabolic syndrome
  • artificial intelligence