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, send an email from your institutional email account to 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.