2009 | OriginalPaper | Buchkapitel
The Estimation of Reliability in the Preventive Examination of Allergic Diseases with Knowledge Discovery Methods
verfasst von : Bartosz Jędrzejec, Ewa Czarnobilska, Grzegorz Porębski, Krystyna Obtułowicz, Edward Nawarecki
Erschienen in: Computers in Medical Activity
Verlag: Springer Berlin Heidelberg
Aktivieren Sie unsere intelligente Suche, um passende Fachinhalte oder Patente zu finden.
Wählen Sie Textabschnitte aus um mit Künstlicher Intelligenz passenden Patente zu finden. powered by
Markieren Sie Textabschnitte, um KI-gestützt weitere passende Inhalte zu finden. powered by
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.