Visually exploring multivariate trends in diabetes patient cohorts using animated scatter plots

TimeRider with traces shows the development over time for all patients.

CareCruiser [Gschwandtner, et al. 2011]  -  an interactive visualization for assessing effects of treatment plan application in combination with patient data interactively.
reference: [Gschwandtner, et al. 2011]. Gschwandtner, T., Aigner, W.,  Kaiser, K., Miksch, S., Seyfang, A.: CareCruiser: Exploring and Visualizing Plans, Events, and Effects Interactively. PacificVis, forthcoming 2011.

VisuExplore [Rind et al., 2010] an interactive visualization method for exploring a heterogeneous set of medical parameters over time. 
- Screenshot showing a set of heterogeneous medical parameters of a diabetes patient.
Multiple groups of variables are visualized with different techniques in a multiple views display: Line chart, bar chart, timeline chart, and event chart.  All views share a common time axis. Users can interact with the visualization through mouse actions inside each view, scrollbars, a toolbar for time, two toolbars for views, and the menu.
reference: Rind et al., 2010. Rind, A., Miksch, S., Aigner, W., Turic, T., and Pohl, M. (2010). VisuExplore: Gaining New Medical Insights from Visual Exploration. In Hayes, G. R. and Tan, D. S., editors, Proceedings of the 1st International Workshop on Interactive Systems in Healthcare (WISH@CHI2010), pages 149-152.

Gravi++ [Hinum et al., 2005] was designed to find predictors during the treatment planning of anorectic girls. - Patient icons in the middle of the display are positioned according to a spring-based model relative to the surrounding question icons. Traces represent the course of patients' health condition over time. Various interaction techniques allow to explore the time-oriented data set.
reference: Hinum et al., 2005. Hinum, K., Miksch, S., Aigner, W., Ohmann, S., Popow, C., Pohl, M., and Rester, M. (2005). Gravi++: Interactive Information Visualization to Explore Highly Structured Temporal Data. Journal of Universal Computer Science, 11:1792-1805.

GROOVE (Granularity Overview Overlay Visualizations) [Lammarsch et al., 2009] are a set of pixel-based visualizations that integrate concepts of Recursive Patterns and the Multi Scale Temporal Behavior. - Left: Color-based overlay (green hue: low averages per block, blue hue: high averages per block, bright: low detail value, dark: high detail value). Top right: Example for recursive pattern arrangement along time granularities. Bottom right: Interactive spatial overlay.
reference: Lammarsch et al., 2009. Lammarsch, T., Aigner, W., Bertone, A., G¨artner, J., Mayr, E., Miksch, S., and Smuc, M. (2009). Hierarchical Temporal Patterns and Interactive Aggregated Views for Pixel-based Visualizations. In Proceedings of 13th International Conference on Information Visualisation (IV09), pages 44-49. IEEE Computer Society Press.

PlanningLines [Aigner et al., 2005] focus on the representation of temporal intervals and their uncertainties at a high level of detail. - Project plan of construction works represented using PlanningLines which allow the depiction of temporal uncertainties via glyphs consisting of two encapsulated bars, which represent minimum and maximum duration and are bounded by two caps encoding the start and end intervals.

reference: Aigner et al., 2005. Aigner, W., Miksch, S., Thurnher, B., and Biffl, S. (2005). PlanningLines:

Novel Glyphs for Representing Temporal Uncertainties and their Evaluation. In Proceedings of the 9th International Conference on Information Visualisation (IV05). IEEE Computer Society Press.