Abstract
To ensure a high level of human health protection the huge amount of data gathered day by day by the physicians of the health service have to be analyzed in an efficient way. The current statistical and numerical methods allow only a limited analysis of these data. In this paper we discuss the visualization of huge data sets of multiparameter health data with geographical and temporal dependence as an efficient tool for the analysis of human health data and present some new solutions. Furthermore, we describe the visualization system MedVis which has been developed for the visualization of health data of the German state Mecklenburg-Vorpommern as part of a tele-consultation-system for the monitoring of acute health risk.
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References
Dorling, D.: Cartograms for Visualizing Human Geography, in: Hernshaw, H.M.; Unwin,D.J.(eds.): Visualization in Geographical Information Systems, John Wiley & Sons, Chichester u.a. 1994.
Feiner, S.; Beshers, C.: AutoVisual: Rule based design of interactive multivariate visualizations, IEEE Computer Graphics and Applications
Gierl, L.; Bull, M.: Architecture of an Early Warning System for Regional Health Risks, Rostocker Informatik Berichte (1996) 19.
Gierl, L.; Kundt, G. Bull, M.: An Eraly Warning System for detection of outbreaks of epidemics, GEOMED 97, Rostock, Germany 1997.
Grienstein, G.: Levkowitz, H.: Perceptual Issues in Visualization, Springer Verlag 1995.
Inselberg, A.; Grinstein, G.; Mihalisin, T.; Hinterberger, H.: Visualizing multidimensional (multivariate) data and relations, Hernshaw, H.M.; Unwin, D.J.(eds.): Visualization in Geographical Information Systems. John Wiley & Sons, Chichester u.a.,1994
Johnson, B.: Visualizing Hierarchical and Categorical Data, Ph.D. Thesis, Department of Computer Science, University of Maryland, 1993
personal talk with Robert van Liere at the 7th Eurographics Workshop, April 1996, Prag
Rew, R.; Davis, G.; Emmerson, S.: NetCDF User’s Guide. An Interface for Data Access, University Corporation for Atmospheric Research, 1993
Schumann, H.; Lopez de Chavez, N.; Graw, K.U.: Visual representation of multiparameter data with spatial dependence, 7th Eurographics Workshop on Visualization in Scientific Computing, Prague, April 23–25, 1996.
Theisel, H.: Analyse und Visualisierungshilfe fuer mehrdimensionale wissenschaftliche Daten, Informatik — Forschung und Entwicklung, Heidelberg, 1995,10
van Wijk, J. J, van Liere R. D.: Hyperslice, Visualization ’93, san Jose, ca, 1993.
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© 1998 B. G. Teubner Verlagsgesellschaft Leipzig
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Schumann, H., de Chävez, N.L., Graw, KU. (1998). Visual Analysis as an efficient Tool for the Exploration of Human Health Data. In: Gierl, L., Cliff, A.D., Valleron, AJ., Farrington, P., Bull, M. (eds) Geomed ’97. Informatik und Unternehmensführung. Vieweg+Teubner Verlag, Wiesbaden. https://doi.org/10.1007/978-3-322-95397-1_17
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DOI: https://doi.org/10.1007/978-3-322-95397-1_17
Publisher Name: Vieweg+Teubner Verlag, Wiesbaden
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Online ISBN: 978-3-322-95397-1
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