The application of rough sets-based data mining technique to differential diagnosis of meningoenchepahlitis

摘要

The application of rough sets-based data mining tool called KDD-R to the analysis of clinical data is described. The main practical problem tackled with the data mining technique is a differential diagnosis of bacterial versus viral meningoenchephalis. We present the relevant aspects of the variable precision rough sets model underlying the system KDD-R, the basic operational stages of KDD-R, and the results and their clinical interpretation conducted by the domain expert.