DiaTrend: A dataset from advanced diabetes technology to enable development of novel analytic solutions

Please cite this dataset as Temiloluwa Prioleau, Abigail Bartolome, Richard Comi and Catherine Stanger. (2023) DiaTrend: A dataset from advanced diabetes technology to enable development of novel analytic solutions

This repository contains references to data records for a Data descriptor submitted to Scientific Data. Any references to the dataset assume dataset files are stored in directory dataset/ at this level. Below is a description of the different folders and their content.

Please feel free to contact the Augmented Health Lab (ah-lab@dartmouth.edu) if you need assistance navigating these documents.

python_scripts/

• figure1.py:

  • Code for generating the plots in Figure 1.

    python figure1.py -s <path to subject data file> -f <path to image pdf>
    

• figure2.py:

  • Code for generating Figure 2.

    python figure2.py -d <path to dataset directory> -f <path to image pdf>
    

• figure3.py:

  • Code for generating Figure 3.

    python figure3.py -d <path to dataset directory> -f <path to image pdf>
    

• figure4.py:

  • Code for generating the plots in Figure 4.

  • Writes figure4_cgm_daily_hist.pdf and figure4_times_in_ranges.pdf to figure directory path.

    python figure4.py -s <path to subject data file> -f <path to figure directory>
    

• figure5.py:

  • Code for generating the plots in Figure 5.

  • Writes figure5_bolusDose_boxplot.pdf, figure5_carbInput_boxplot_ymax200.pdf, and figure5_ip_daily_hist.pdf to figure directory path.

    `python figure5.py -s <path to subject data file> -f <path to figure directory>`
    

Figures/

• Files generated by the code in the python_scripts directory