OhioT1DM Dataset

The OhioT1DM dataset is available to researchers interested in improving the health and wellbeing of people with type 1 diabetes. It contains 8 weeks worth of data for each of 12 people with type 1 diabetes. These people were all on insulin pump therapy with continuous glucose monitoring (CGM). They provided blood glucose data, insulin data, self-reported life-event data, and data from physiological fitness bands. The dataset includes: a CGM blood glucose level every 5 minutes; blood glucose levels from periodic self-monitoring of blood glucose (finger sticks); insulin doses, both bolus and basal; self-reported meal times with carbohydrate estimates; self-reported times of exercise, sleep, work, stress, and illness; and physiological data from fitness bands. A more detailed description of the dataset is available in the paper The OhioT1DM Dataset for Blood Glucose Level Prediction: Update 2020.

This work has been supported by grant 1R21EB022356 from the National Institutes of Health (NIH), from 7/2016 to 6/2020. Information about other projects and packages developed in the SmartHealth lab can be found here.

Getting the dataset

To obtain the dataset, email razvan.bunescu@charlotte.edu with the subject line OhioT1DM Request and include the following in the body of the message:

Researcher information:
  1. Full name
  2. Job title
  3. Institutional email address
Institution information:
  1. Institution name
  2. Street address
  3. City
  4. State/Province
  5. Postal/Zip code
  6. Country
Once your request is processed, we will send an email response containing a link to a compressed, encrypted version of the dataset togeter with a password for decompressing it. Please allow one week for processing the request.

Citing the paper

Please cite the paper below in any publications reporting on work using OhioT1DM data: 
@inproceedings{marling2020ohiot1dm,
  title = {The OhioT1DM dataset for blood glucose level prediction: Update 2020},
  author = {Marling, Cindy and Bunescu, Razvan},
  booktitle = {The 6th International Workshop on Knowledge Discovery from Healthcare Data (KDH)},
  year = {2020},
  url = {https://pmc.ncbi.nlm.nih.gov/articles/PMC7881904}
}

 

OhioT1DM Viewer

You may also wish to use the OhioT1DM Viewer to graphically display the data. Below you can find:
  1. Linux and Mac installation instructions.
  2. Executables for Windows platforms.
  3. A short video tutorial explaining its usage.