Logistic regression methods application in medical information systems

Data analysis methods are widely used to solve many different problems. Intensive development in the field of knowledge discovery in database is a response to a sharp increase in the amount of information in electronic format. Classification is one of the main steps in data analysis. Taking into consideration medical data, it becomes extremely important to obtain knowledge containing valuable information about the patients with serious illness, e.g. cancer. In this paper we mainly focused on logistic regression model parameters. We built model, which shows the impact of predictors on the dependent variable. It will help to create the medical knowledge base as a next step.