IDMVis: Temporal Event Sequence Visualization for Type 1 Diabetes Treatment Decision Support
Channel: Northeastern University Data Visualization
Date: 2018-07-31

IDMVis is an 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. 

For more info please see our git repo at https://github.com/VisDunneRight/IDMVis and our publication:

Yixuan Zhang, Kartik Chanana, and Cody Dunne, "IDMVis: Temporal Event Sequence Visualization for Type 1 Diabetes Treatment Decision Support," To appear in IEEE Transactions on Visualization and Computer Graphics (Proc. Information Visualization 2017), vol. 25, no. 01, Jan. 2019.

Keywords: Design study, task analysis, event sequence visualization, time series data, qualitative evaluation, health applications, type 1 diabetes