Abstract
The paper concerns the problem of analyzing the reliability of preventive examination of allergic diseases. The authors propose an approach based on the employment knowledge discovery methods to examine data obtained from a questionnaire and tests. As a result of the examination, the association rule model is built. The model describes the relations between the survey answers and the medical test results. The evaluation of the relations provides the answers for the quality and the accuracy of the survey. The Predictive Model Markup Language (PMML) and XQuery language are involved to facilitate an environment for the systematic examination of complex mining models. In the final part of the paper, the preliminary results of experiments are presented.
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Jędrzejec, B., Czarnobilska, E., Porębski, G., Obtułowicz, K., Nawarecki, E. (2009). The Estimation of Reliability in the Preventive Examination of Allergic Diseases with Knowledge Discovery Methods. In: Kącki, E., Rudnicki, M., Stempczyńska, J. (eds) Computers in Medical Activity. Advances in Intelligent and Soft Computing, vol 65. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-04462-5_1
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DOI: https://doi.org/10.1007/978-3-642-04462-5_1
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