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:
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
Northeastern University Data Visualization @ CCIS
This project is open source under the MIT License.
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.