IDMVis

IDMVis is an open source interactive visualization tool for showing type 1 diabetes patient data. It is designed to help clinicians perform temporal inference tasks: specifically for recommending adjustments to patient insulin protocol, diet, and behavior. IDMVis is built with JavaScript and the d3.js library.

Introductory and Demo Videos

You can see a live demo at visdunneright.github.io/IDMVis/public/ and watch our 30 second teaser video:

or a five minute demo video:

Setup

• Open terminal/command prompt.
• Fork and clone the github repository to your local system in a dedicated folder.
• Change to the public directory.
• At the command line, run python -m http.server with the version Python 3.
• Visit http://localhost:8000/ in your browser.

Legend

Publication

Yixuan Zhang, Kartik Chanana, and Cody Dunne, “IDMVis: Temporal Event Sequence Visualization for Type 1 Diabetes Treatment Decision Support”, IEEE Transactions on Visualization and Computer Graphics (Proc. Information Visualization 2018), vol. 25, no. 1, Jan. 2019. doi: 10.1109/TVCG.2018.2865076

VIS 2018 Presentation

Please see slides from the presentation and the presentation recording.

Authors

Yixuan Zhang, Kartik Chanana, and Cody Dunne

Northeastern University Data Visualization @ CCIS

License

This project is open source under the MIT License.

Acknowledgments

This material is based upon work supported by the National Science Foundation under Grant No. 1755901. Any opinions, findings, and conclusions or recommendations expressed in this material are those of the author(s) and do not necessarily reflect the views of the National Science Foundation.