Interpreting blood GLUcose data with R package iglu.

Interpreting blood GLUcose data with R package iglu.
复制标题

DOI:
10.1371/journal.pone.0248560
复制
发表时间:
2021
期刊:
影响因子:
3.7
通讯作者:
Gaynanova I
Gaynanova I
中科院分区:
综合性期刊3区
文献类型:
--
作者:
Broll S;Urbanek J;Buchanan D;Chun E;Muschelli J;Punjabi NM;Gaynanova I

文献摘要

参考文献

被引文献

相似文献

连续血糖监测(CGM)数据在临床实践中发挥着越来越大的作用,因为它们提供了整个24小时内血糖水平的详细量化。R Package IGLU实施了广泛的CGM衍生指标,用于测量血糖控制和血糖变异性。该软件包还允许用户使用时间序列和千层面图可视化CGM数据。Iglu的一个明显优势是它带有一个点击式图形用户界面(GUI),无论用户的编程经验如何,都可以广泛地访问该包。因此,开源且易于使用的IGLU包将有助于推进CGM研究和CGM数据分析。R程序包IGLU在CRAN和https://github.com/irinagain/iglu.上公开提供
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.
DOI: 10.1089/dia.2013.0252
发表时间: 2014-10-01
影响因子: 5.4
作者:
Fabris, Chiara;Facchinetti, Andrea;Cobelli, Claudio
通讯作者: Cobelli, Claudio
DOI: 10.2337/dc17-1600
发表时间: 2017-12
期刊: Diabetes care
影响因子: 16.2
作者:
Danne T;Nimri R;Battelino T;Bergenstal RM;Close KL;DeVries JH;Garg S;Heinemann L;Hirsch I;Amiel SA;Beck R;Bosi E;Buckingham B;Cobelli C;Dassau E;Doyle FJ 3rd;Heller S;Hovorka R;Jia W;Jones T;Kordonouri O;Kovatchev B;Kowalski A;Laffel L;Maahs D;Murphy HR;Nørgaard K;Parkin CG;Renard E;Saboo B;Scharf M;Tamborlane WV;Weinzimer SA;Phillip M
通讯作者: Phillip M
DOI: 10.1089/dia.2008.0132
发表时间: 2009-04-01
影响因子: 5.4
作者:
Rodbard, David
通讯作者: Rodbard, David
DOI: 10.1093/biostatistics/kxaa023
发表时间: 2022-01-01
期刊: BIOSTATISTICS
影响因子: 2.1
作者:
Gaynanova, Irina;Punjabi, Naresh;Crainiceanu, Ciprian
通讯作者: Crainiceanu, Ciprian
DOI: 10.1111/j.1464-5491.2007.02119.x
发表时间: 2007-07-01
期刊: DIABETIC MEDICINE
影响因子: 3.5
作者:
Hill, N. R.;Hindmarsh, P. C.;Matthews, D. R.
通讯作者: Matthews, D. R.