Utilizing text mining techniques to analyze medical diagnoses

Due to the increasing amount of medical patient data collected in hospitals, technology-based methods are of increasing interest for processing and analyzing such materials. Therefore, computer supported techniques have to be evaluated by means of their efficiency for this application area. In this paper, we introduce an approach for analyzing expert comments on magnetic resonance images (MRI) diagnoses by applying a text mining method in order to scan them for regional correlations. Consequently, we propose a calculation of significant co-occurrences of diseases and defined regions of the human body, in order to identify possible risks for health, and we present a special tool, which we have implemented in order to test this approach. -- Information retrieval ; text mining ; performance ; medical documentation