This article presents a mathematical method of interpretation of immunological parameters of blood. The study used a comprehensive evaluation of the possibility of disease development, not only on the basis of qualitative data, directly gender-related characteristics and professional activities (occupation, profile, department, work with the equipment), but also quantitative data - age, work experience, immunological indicators of the level of immune protection of the subject. The analysis of multidimensional data allowed to identifying immunological symptoms as predictors of chronic non-communicable diseases. The risk of chronic noncommunicable diseases among the health care workers is the largest extent dependent on exposure to occupational factors. The proposed method is the mathematical interpretation of immunological indices of blood, it allowed to reveal immunological symptoms as predictors of chronic non-communicable diseases. The immunologВЕСТНИК НОВЫХ МЕДИЦИНСКИХ ТЕХНОЛОГИЙ – 2015 – N 4 Электронный журнал Библиографическая ссылка: Т.А. Ермолина, А.В. Шишова, К.К. Рогалев, Н.А. Мартынова, Л.А. Басова, Г.Г. Родионов Математическое модели- рование иммунологических показателей для прогнозирования и диагностики хронических неинфекционных заболе- ваний у медицинских работников // Вестник новых медицинских технологий. Электронное издание. 2015. №4. Пуб- ликация 1-1. URL: http://www.medtsu.tula.ru/VNMT/Bulletin/E2015-4/5221.pdf (дата обращения: 27.11.2015). DOI: 10.12737/16163 ical detection of the symptom of a health worker at the health screening can be considered as a possible predisposition or the presence of chronic non-communicable diseases and the subsequent development of complex diagnostic and therapeutic measures. The health assessment can be carried out not at the stage of identifying already clinically developed chronic non-communicable diseases, and at the initial stage of the disease. This approach is feasible due to the fact that the initial reversible disorders. Complex timely preventive and therapeutic measures can prevent the development of chronic non-communicable diseases.
medical workers, chronic non-communicable diseases, immunological parameters, modeling, production factors, cluster analysis.
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