Classification Methods in Colon Disease Information System

  • Anna KasperczukEmail author
  • Agnieszka Dardzinska
Part of the Lecture Notes in Computer Science book series (LNCS, volume 11390)


This paper presents the process of building a new logistic regression model, which aims to support the decision-making process in medical database. The developed logistic regression model, J48 classifier and Random Tree algorithm define the probability of the disease and indicates the statistically significant changes that affect the onset of the disease. In our work, we attempted to build a classifier that would classify patients undergoing ulcerative colitis and other conditions within the lower gastrointestinal tract. The value of probability can be treated as one of the feature in decision process of patient’s future treatment.


Selection Classification Decision system Information system 


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© Springer-Verlag GmbH Germany, part of Springer Nature 2019

Authors and Affiliations

  1. 1.Department of Mechanical Engineering, Division of Biocybernetics and Biomedical EngineeringBialystok University of TechnologyBialystokPoland

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