Formulation of the Task of Constructing an Expert System for the Diagnosis of Leukemia

This paper discusses the task of creating a prototype of the expert system “LeykemiaNN”, designed to help oncologists in predicting the acute and chronic forms of leukemia. To achieve this goal, a survey study of the forms of diagnosis of leukemia, which are aimed at identifying a malignant disease through a prototype expert system, was conducted. For the developed prototype, the experimental data were structured, and a generator was created that made it possible to generate data for training an artificial neural network. The client application was implemented in the Spyder development environment in the Python 3 programming language.