Data mining (DM) is a widely adopted methodology for the analysis of large datasets which is on the other hand often overestimated or incorrectly considered as a universal solution. This statement is also valid for clinical research, in which large and heterogeneous datasets are often processed. DM in general uses standard methods available in common statistical software and combines them into a complex workflow methodology covering all the steps of data analysis from data acquisition through pre-processing and data analysis to interpretation of the results. The whole workflow is aimed at one final goal – to find any interesting, non-trivially hidden and potentially useful information. This innovative concept of data mining was adopted in our educational course of the Faculty of Medicine at the Masaryk University accessible from its e-learning portal http://portal. med.muni.cz/clanek-318-zavedeni-technologie-data-miningu-a-analyzy-dat--genovych-expresnich-map-do-vyuky.html.

Institute of Biostatistics and Analyses Faculty of Medicine and Faculty of Science Masaryk University Brno Czech Republic

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