SUMMARY
This study is dedicated to the application of the "bootstrap" method for creating virtual models of normo- and hyperprolactinemia, allowing the creation of statistical models based on the empirical distribution of data. The aim of the research was to apply this approach to different patient groups with normoprolactinemia, hyperprolactinemia without pituitary adenoma, microprolactinoma, and macroprolactinoma. Material and Methods. The models were developed using data from patients with different types of prolactinemia. The models were created considering the gender and quantitative characteristics of the patients, followed by statistical analysis. Results. The results showed that the virtual models did not differ significantly from the real groups. However, certain correlations between prolactinemia and anthropometric parameters, blood pressure, as well as pituitary-thyroid system hormones were identified, with variations depending on the group. Conclusion. The study demonstrated that the "bootstrap" approach is an effective tool for clinical and statistical modeling and provides more precise analysis of the characteristics of various prolactinemia groups.
Keywords: "bootstrap" method, pituitary adenoma, normo- and hyperprolactinemia, virtual models, statistical modeling

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