Scholars@Duke publication: cgmquantify: Python and R packages for comprehensive analysis of interstitial glucose and glycemic variability from continuous glucose monitor data

cgmquantify: Python and R packages for comprehensive analysis of interstitial glucose and glycemic variability from continuous glucose monitor data

Publication , Preprint

Bent, B; Henriquez, M; Dunn, J

February 8, 2021

Publisher Link Link to item

Duke Scholars

Author Brinnae Bent Engineering Graduate and Professional Programs

Publication Date

February 8, 2021

Citation

APA

Chicago

ICMJE

MLA

NLM

Bent, B., Henriquez, M., & Dunn, J. (2021). cgmquantify: Python and R packages for comprehensive analysis of interstitial glucose and glycemic variability from continuous glucose monitor data.

Bent, Brinnae, Maria Henriquez, and Jessilyn Dunn. “cgmquantify: Python and R packages for comprehensive analysis of interstitial glucose and glycemic variability from continuous glucose monitor data,” February 8, 2021.

Bent B, Henriquez M, Dunn J. cgmquantify: Python and R packages for comprehensive analysis of interstitial glucose and glycemic variability from continuous glucose monitor data. 2021.

Bent, Brinnae, et al. cgmquantify: Python and R packages for comprehensive analysis of interstitial glucose and glycemic variability from continuous glucose monitor data. 8 Feb. 2021.

Bent B, Henriquez M, Dunn J. cgmquantify: Python and R packages for comprehensive analysis of interstitial glucose and glycemic variability from continuous glucose monitor data. 2021.

Publication Date

February 8, 2021