Abstract
We describe the methodology of an early warning system which fulfills the following tasks. (1) discovering of health risks, (2) forecasting of the temporal and spatial spread of epidemics and (3) estimating of consequences of an epidemic w.r.t. the personnel load and costs of the public health service. For mastering this three tasks methods from artifical intelligence and statistics are applied.
supported by the DFN-Verein (German society for the national research net) and the AOK Mecklenburg-Vorpommern (General health insurance company)
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References
Aamodt, A.; Plaza, P.: Case-Based Reasoning: Foundational Issues, Methodological Variations, and System Approaches. AI Communications 7(1) 1994, 39–59
Bull, M.; Gierl, L.: Architecture of an Early Warning System for Regional Health Risk. Rostocker Informatik Berichte (1996)19, 5–18
Fayyad, U. M.; Piatetsky-Shapiro, G.; Smyth, P.; Uthurusamy, R.: Advances in Knowledge Discovery and Data Mining. MIT Press, 1996
Jones, E.K.; Roydhouse, A.: Iterative Design of Case Retrieval Systems. Victoria University of Welligton, New Zealand, Technical Report CS-TR-94/6, see also: Proc.of the AAAI-94, Workshop on Case Based Reasoning, Seattle, Washington, 1994
Kitano, H.; Shimazu, H.; Shibata, A.: A Methodology for Building Large-Scale Case-Based Systems. in: Proceedings of the AAAI-93, Washington, 1993
Lekkas, G.P.; Arouris, N.M.; Viras, L.L.: Case-Based Reasoning in Environmental Monitoring Applications. Applied Artificial Intelligence, Vol. 8, 1994, 349–376
Marshall, R.J.: A Review of the Statistical Analysis of Spatial Patterns of Disease. J. R. Statist. Soc. A (1991) 154, Part 3, 421–441
Rothman, K.J.: Modern Epidemiology. Little Brown, Boston, Toronto 1986
Schmidt, R.; Heindl, B.; Pollwein, B.; Gierl, L.: Abstraction of Data and Time for Prognoses of the Kidney Function in a Case-Based Reasoning System. in J. Brender, J.P. Christensen et al.(eds.): Proc. of Medical Informatics Europe '96, IOS Press, Technology and Informatics, Vol. 34, Part A, 570–574
Thomas, R.J.: Geomedical Systems. London, New York 1992
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© 1997 Springer-Verlag Berlin Heidelberg
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Bull, M., Kundt, G., Gierl, L. (1997). Case-based reasoning and statistics for discovering and forecasting of epidemics. In: Keravnou, E., Garbay, C., Baud, R., Wyatt, J. (eds) Artificial Intelligence in Medicine. AIME 1997. Lecture Notes in Computer Science, vol 1211. Springer, Berlin, Heidelberg. https://doi.org/10.1007/BFb0029485
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DOI: https://doi.org/10.1007/BFb0029485
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