Case-Based Reasoning and Statistics for Discovering and Forecasting of Epidemics
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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.
[1] Nikolaos M. Avouris,et al. Case-based reasoning in environment monitoring applications , 1994, Appl. Artif. Intell..
[2] Agnar Aamodt,et al. Case-Based Reasoning: Foundational Issues, Methodological Variations, and System Approaches , 1994, AI Commun..
[3] Roger Marshall,et al. A Review of Methods for the Statistical Analysis of Spatial Patterns of Disease , 1991 .
[4] Hiroaki Kitano,et al. Case-Method: A Methodology for Building Large-Scale Case-Based Systems , 1993, AAAI.