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Visual Methods for Analyzing Human Health Data
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Author(s): C. Tominski (Institute for Computer Science, University of Rostock, Germany), P. Schulze-Wollgast (Institute for Computer Science, University of Rostock, Germany)and H. Schumann (Institute for Computer Science, University of Rostock, Germany)
Copyright: 2008
Pages: 8
Source title:
Encyclopedia of Healthcare Information Systems
Source Author(s)/Editor(s): Nilmini Wickramasinghe (Illinois Institute of Technology, USA)and Eliezer Geisler (Illinois Institute of Technology, USA)
DOI: 10.4018/978-1-59904-889-5.ch170
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Abstract
This article focuses on the visual analysis of human health data that describe the number of cases of different diagnoses in a spatial and temporal frame of reference. To build a common basis for the later description of different visualization methods, basic concepts of visualization as well as an abstract data model are illustrated in Section 2. In the main part of this article we describe the visualization of human health data at different levels (see Section 3). Whereas basic visual methods for representing human health data abstractly are presented only briefly, the visualization of data with respect to space and time is described in more detail. This article concludes with remarks on future work and trends in Section 4 and a brief summary of the key issues described in this article (see Section 5).
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