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 ([email protected]) if you need assistance navigating these documents.
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figure1.py
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Code for generating the plots in Figure 1.
python figure1.py -s <path to subject data file> -f <path to image pdf>
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figure2.py
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Code for generating Figure 2.
python figure2.py -d <path to dataset directory> -f <path to image pdf>
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figure3.py
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Code for generating Figure 3.
python figure3.py -d <path to dataset directory> -f <path to image pdf>
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figure4.py
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Code for generating the plots in Figure 4.
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Writes
figure4_cgm_daily_hist.pdf
andfigure4_times_in_ranges.pdf
to figure directory path.python figure4.py -s <path to subject data file> -f <path to figure directory>
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figure5.py
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Code for generating the plots in Figure 5.
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Writes
figure5_bolusDose_boxplot.pdf
,figure5_carbInput_boxplot_ymax200.pdf
, andfigure5_ip_daily_hist.pdf
to figure directory path.`python figure5.py -s <path to subject data file> -f <path to figure directory>`
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- Files generated by the code in the
python_scripts
directory