Interactive Visual Exploration of Multivariate Medical Measurements in Diabetes Care
|Lead / Contact||Wolfgang
Aigner, Vienna University of Technology
Michael Atanasov, HTBL Krems
Alexander Rind, Vienna University of Technology
Philipp Schindler, HTBL Krems
Reinhardt Wenzina, HTBL Krems
University of Technology, Institute of Software Technology
& Interactive Systems
HTBL Krems, Department of Information Technology
|Duration||September 2010 – May 2011
Multivariate, time-oriented data plays a central role in many domains such as medicine, finance, or environmental engineering. Information Visualization can be an instrument to make such vast datasets intuitively comprehensible. As the number of time series increases, visualizations need to be space-efficient. Horizon graphs [Reijner, 2008] are an innovative approach to reduce required space by dividing the a chart into bands and layering these. While a first evaluation [Heer, et al., 2009] shows promising results, there is still room for optimization, especially regarding interaction techniques.
In the project HorizonVis, we implemented the horizon graph as component for the VisuExplore framework. HorizonVis was tested with the diabetes dataset from the UCI Machine Learning Repository. In order to support flexible usage, it provides several customization settings:
Future work includes evaluation of HorizonVis in application scenarios (e.g., diabetes care). The applicability of indexing is of special interest. Furthermore, we plan to extend HorizonVis with advanced interaction techniques.
|Images||To retrieve an enlarged version of the
images, click on them:
These three screenshots are licensed under a Creative
Commons Attribution-NoDerivs 3.0 Unported License.
– Gaining New Medical Insights from Visual Exploration
MIDGAARD – Connecting Time-Oriented Data and Information to a Coherent Interactive Visualization
TimeViewer – Visualizing Temporal Data using prefuse
J. Heer, N. Kong, and M. Agrawala, Sizing the Horizon: The Effects of Chart Size and Layering on the Graphical Perception of Time Series Visualizations, in Proc. 27th Int. Conf. Human Factors in Computing Systems (CHI’09), Boston, MA, 2009, p. 1303–1312.
H. Reijner, The Development of the Horizon Graph, in Electronic Proc. Vis08 Workshop From Theory to Practice: Design, Vision and Visualization, 2008.
T. Saito, H.N. Miyamura, M. Yamamoto, H. Saito, Y. Hoshiya, and T. Kaseda, Two-Tone Pseudo Coloring: Compact Visualization for One-Dimensional Data, in Proc. IEEE Symp. Information Visualization (InfoVis 2005), 2005, p. 173–180.
|Funding||This project was funded by
Science initiative of the Federal Ministry of Science and
Research. HorizonVis was awarded € 5000 for a top 5
submissions to the third call.
project description (in German)