Новые возможности применения методов искусственного интеллекта для моделирования появления и развития заболеваний и оптимизации их профилактики и лечения
This article is devoted to the methodological issues of the application of artificial intelligence techniques in preventive medicine. We showed a specific example of the neural network application allows not only to diagnose cardiovascular diseases, but also on a quantitative basis to predict their emergence and development in future periods of life. This allows you to select the optimal strategy for the prevention and treatment of patients based on their individual parameters. The article concluded: recommendations for the prevention and treatment of cardiac patients should be given strictly individually, taking into account physiological peculiarities of the organism of patients. If for some patients it is useful to give up Smoking, limit the consumption of sweets, take drugs, reduce blood pressure, etc., for other patients, these recommendations may cause harm. Our intelligent system helps to identify such non-standard patients and to avoid incorrect recommendations. The prototype of the proposed system laid out in the "Projects" section on the website www.PermAi.ru.
Keywords: diagnosis, prediction, prevention, neural network, diseases of the cardiovascular system.