Decision Support System on the Need for Veterinary Control of Passing Livestock and Farm Produce
The results of the development of a decision support system (DSS) that can be used by the customs. This system helps to inspectors at the border veterinary checkpoints (VCPR) to make decisions on the need for veterinary control of passing livestock and farm produce. The system makes the decisions by analyzing the known information about cargo with the use of logistic regression model. This module was developed using the Python programming language, mathematical libraries for data analysis, and framework Flask for creating Web applications. The paper also presents the results of a correlation analysis of factors with an identification of significant features, the results of testing the module, and the conclusions about its effectiveness.