Open source interactive visualization tool for showing type 1 diabetes patient data.
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IDMVis_IEEEVIS18_preprint.pdf Add files via upload Aug 2, 2018
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README.md

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:

IDMVis VIS 2018 FFWD Video

or a five minute demo video:

IDMVis 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

IDMVis Legend

Publication

Yixuan Zhang, Kartik Chanana, and Cody Dunne, "IDMVis: Temporal Event Sequence Visualization forType 1 Diabetes Treatment Decision Support", IEEE Transactions on Visualization and Computer Graphics (Proc. Information Visualization 2017), vol. 25, no. 1, Jan. 2019. doi: 10.1109/TVCG.2018.2865076

Authors

Yixuan Zhang, Kartik Chanana, and Cody Dunne

Northeastern University Data Visualization @ CCIS

License

This project is licensed under the MIT License.