Abstract
Systems analysis and the exploration of data are important tasks during the course of environmental epidemiological studies. We examine knowledge discovery in databases combined with individual-oriented modeling and simulation to support the detection of hypotheses about cause-and-effect relationships within environmental systems. An individual-oriented model and detected hypotheses can uncover possible explanations for the current state of health of a study population. Such a model can support future planning and decision making for health-care management. The main goal of attempting to use these methods in epidemiological research is to reduce expenditures in costs and time for a study as well as to improve the analysis and interpretation of available data.
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References
Berthold, M. and Hand, D.J. (eds.): Intelligent Data Analysis: An Introduction. Springer-Verlag (1999).
Dahmann, J.S., Kuhl, F., and Wetherly R.: Standards for Simulation: As Simple as Possible But Not Simpler-The High Level Architecture for Simulation. Simulation (Special Issue: High-Level-Architecture) 71:6, 7 378–387 (1998).
Darwin, C.R.: The Origin of Species: By Means of Natural Selection or The Preservation of Favoured Races in the Struggle for Life. Oxford Univ. Press-London, a repr. of the 6th ed. (1968).
DeAngelis, D.L. and Gross, L.J. (eds.): Individual-based Models and Approaches in Ecology. Chapman Hall (1992).
Fayyad, U., Piatetsky-Shapiro, G., and Smyth, P.: From data mining to knowledge discovery in databases. Ai Magazine, 17:37–54 (1996).
Fishwick, P.A.: Simulation Model Design and Execution-Building Digital Worlds. Prentice-Hall (1995).
Fogel, D.B.: Evolutionary Computation: Towards a New Philosophy of Machine Intelligence. IEEE Press, Piscataway, Ny (1995).
Friebe, J.: Softwarekomponenten für Gis im Internet. In: Hypermedia im Umweltschutz und Betriebliche Umweltinformationssysteme. Metropolis-Verlag (1999).
Hoffmeister, F.: Scalable Parallelism by Evolutionary Algorithms. In Grauer, M. and Pressmar, D.B. (eds.), Parallel Computing and Mathematical Opimization, Springer-Verlag, pages 177–198 (1991).
Hogeweg, P. and Hesper B.: Individual-Oriented Modeling in Ecology. Mathl. Comput. Modeling, Vol. 13/6, pages 83–90 (1990).
Holland, J.H.: Adaption in Natural and Artificial Systems. Univerity of Michigan Press, Ann Arbor (1975).
Holsheimer, M. and Siebes, A.P.J.M.: Data Mining: The Search for Knowledge in Databases. Centrum voor Wiskunde en Informatica (Cwi), P.o. box 94079, 1090 Gb Amsterdam, The Netherlands, Report Cs-r9406 (1994).
Köster, F.: Techniken des Knowledge Discovery in Databases zur Analyse von Simulationen am Beispiel individuenorientierter Simulationsmodelle der Umweltepidemiologie. Bericht zum Workschop der Fachgruppe 4.5-Modellbildung und Simulation in Umweltanwendungen. 12.-14. März 2000 in Hamburg-im Druck.
Köster, F. and Sonnenschein, M.: Individual-Oriented Modeling and Simulation — An Approach to Support Epidemiological Research. In: Anderson, J.G., Katzper, M. (eds.): 1998 Medical Science Simulation Conference. Scs, pages 73–78 (1998).
Köster, F. and Sonnenschein, M.: An Approach to the Creation and Validation of Hypotheses about Cause-and-Effect Relationships in Individual-Oriented Models by Knowledge Discovery in Databases. In: Anderson, J.G., Katzper, M. (eds.): 1999 Medical Science Simulation Conference. Scs, pages 139–144 (1999).
Koza, J.R.: Genetic Programming: On the Programming of Computers by Means of Natural Selection, Complex Adaptive Systems. MIT Press, Cambridge, Ma (1992).
Lorek, H. and Sonnenschein, M.: Object-oriented support for modelling and simulation of individual-oriented ecological models. Ecological Modelling 108, pages 77–96 (1998).
Louis, A.K., Maaß, P., and Rieder, A.: Wavelets-Theorie und Anwendungen. Teubner Verlag (1998).
Sanders, R.E.: Odbc 3.5 Developer’s Guide, McGraw-Hill Series on Data Warehousing and Data Management (1998).
Weiland, S.K., von Mutius, E., and Keil, U. (for the Isaac Steering Committee): Die International Study of Asthma and Allergies in Childhood (Isaac): Forschungsstrategie, Methoden und Ausblick. In Allergologie 22:275–82 (1999).
World Health Organization (Who): Guidelines on Studies in Environmental Epidemiology. International Program on Chemical Safety, Who-Geneva (1983).
Woods, E. and Kyral, E.: Ovum Evaluates: Data Mining. Ovum Evaluates, Ovum Ltd. (1997).
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Köster, F., Radtke, R., Westphal, B., Sonnenschein1, M. (2000). Combining Methodical Procedures from Knowledge Discovery in Databases and Individual-Oriented Simulation. In: Brause, R.W., Hanisch, E. (eds) Medical Data Analysis. ISMDA 2000. Lecture Notes in Computer Science, vol 1933. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-39949-6_21
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DOI: https://doi.org/10.1007/3-540-39949-6_21
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