Teaching:TUW - UE InfoVis WS 2007/08 - Gruppe 09 - Aufgabe 4: Difference between revisions

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=== Well known Visualization Techniques for this area ===
=== Well known Visualization Techniques for this area ===
Icon-based techniques would be a possible approach for visualizing this kind of data. There are some tools like the VIE-VISU-system for example that use glyphs to visualize medical data.  The drawback of most icon-based techniques is that they cannot visualize data that changes its values continuously over time. In most cases only specific points in time are visualized separately by one glyph. The VIE-VISU-system for example uses 24 glyphs to represent one 24-hour-cycle of measurements.  
Icon-based techniques would be a possible approach for visualizing this kind of data. There are some tools like the VIE-VISU-system [Horn et al., 1998] for example that use glyphs to visualize medical data.  The drawback of most icon-based techniques is that they cannot visualize data that changes its values continuously over time. In most cases only specific points in time are visualized separately by one glyph. The VIE-VISU-system for example uses 24 glyphs to represent one 24-hour-cycle of measurements.  
Purpose of the Visualization
Purpose of the Visualization



Revision as of 18:00, 4 January 2008

Aufgabenstellung

Aufgabe ist das Design einer interaktiven Visualisierungsapplikation zur Darstellung und Exploration
(des zeitlichen Verlaufs) von Laborwerten einer Blutuntersuchung. BenutzerInnen, Einsatzzweck, Tasks, etc.
sollen von Euch selbst festgelegt und beschrieben werden.

Beschreibung der Aufgabe 4

Beispiele für derartige Datensätze

ABGABE

Analysis of the application area

Application Area Analysis

Laboratory Values of blood tests should be visualized, in order to make an exploration, for a point in time as well in a chronological sequence, possible. This Application Area is highly sensible with high expectance towards accuracy. Furthermore the development of blood test results over time is of special interest. For the interpretation of the values and a diagnosis based on these values, the available reference values are of central relevance.

One special characteristic is that the results are within known ranges. The scale can therefore be adjusted towards these ranges.

Dataset Analysis

Theoretically the values of the blood tests are continuous. From a practical point of view the values will not undercut or exceed some certain borders. Therefore the data can be considered as steady and finite. The borders will be set obviously ample to be able to visualize the most unlikely values as well.

The data is two dimensional. One dimension is the value, the second dimension shows the point in time (the date of the blood test) for which this value is valid. It has to be analyzed whether certain test results could be gathered together from a thematic point of view, in order to create structures and groups.

Target Group Analysis

The doctor needs a fast overview of the test results to be able to create a diagnosis. First and foremost the visualization should therefore help doctors to get an overview of the test results. The second target group should be patients. It should be possible to explain them in an easy way the test results.

Target Group Specifics

Doctors often lack time and are under performance pressure. To avoid misinterpretations and to support the doctor in creating a diagnosis, the doctors’ attention should be drawn to the values outside the reference range. Furthermore an overview should show whether the results are ok or not. Patients should be able to understand easily the visualized values. It is of high importance that the patient gets support in reaching clarity in this sensible topic.

Well known Visualization Techniques for this area

Icon-based techniques would be a possible approach for visualizing this kind of data. There are some tools like the VIE-VISU-system [Horn et al., 1998] for example that use glyphs to visualize medical data. The drawback of most icon-based techniques is that they cannot visualize data that changes its values continuously over time. In most cases only specific points in time are visualized separately by one glyph. The VIE-VISU-system for example uses 24 glyphs to represent one 24-hour-cycle of measurements. Purpose of the Visualization

The visualization should provide an overview over the blood test results both for a concrete test and in variation in time. An outstanding task is the elevated focus on values which exceed or undercut the predefined borders. Not only these values need special attention, but as well the values near these borders should be focused in some way. The visualization should answer questions like whether the blood values are in the normal range, whether some tendencies exist and whether one or more values should be drawn more attention to.

Concept

References

  • [Horn et al., 1998] Werner Horn, Christian Popow, and Lukas Unterasinger. Metaphor Graphics to Visualize ICU Data over Time, In Proceedings of Intelligent Data Analysis in Medicine and Pharmacology (IDAMAP-98), Workshop Notes of the ECAI-98 Workshop, 1998.

Links