Classification and Data Analysis for Modeling Selected Colon Diseases

Nowadays analyzing the vast amount of data, including medical ones, whose numbers are growing at a rapid rate, it becomes a very important task. Therefore, it is needed to find new tools, which will be helpful during the process of extracting knowledge, not only visible and obvious from data but also the hidden one. This is extremely important in medicine, where the users still do not know the causes of the emergence and treatment of many diseases. The emergence of methods that would help physicians to make proper decisions, to expand possibilities of proper diagnoses and contribute to development medicine, in a modern, automated way. In this paper, a method of constructing a classification model for ulcerative colitis, in which the process of formation is not fully known and understandable, is presented.