A new decision rule optimization method in analyzing of medical datasets

The main goal of our research was to compile new methodology for building simplified learning models in a form of quasi-optimal sets of decision rules. The source informational database was extended by application of constructive induction to get a new, additional descriptive attribute, and then sets of decision rules were developed for source and extended database, respectively. In the last step, both sets of rules were optimized and compared.