PKDD '00 Proceedings of the 4th European Conference on Principles of Data Mining and Knowledge Discovery
Generating Actionable Knowledge by Expert-Guided Subgroup Discovery
PKDD '02 Proceedings of the 6th European Conference on Principles of Data Mining and Knowledge Discovery
Mining clinical data: selecting decision support algorithm for the MET-AP system
AIME'05 Proceedings of the 10th conference on Artificial Intelligence in Medicine
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The work presents a model construction process which is a combination of the inductive learning based detection of interesting subgroups, comparative statistical analyses of risk factors for these groups, and expert knowledge interpretation of the results. The induced models describe population subgroups with unproportionately high rate of the disease what might be helpful in the prevention process.