Abstract:
A woman spends almost a third of her life in menopause. This age stage is characterized not only by the end of the reproductive period of a woman's life, but also by complex reactions of the neuroendocrine system, which may manifest as a combination of neurovegetative, psychoemotional, and metabolic-endocrine disorders. Such diseases as atherosclerosis, osteoporosis, cancer, urogenital disorders worsen the quality and life expectancy of a woman. The need for early prognosis of the climacteric syndrome is due to the fact that it makes it possible to carry out preventive and therapeutic measures in time, to prevent the development and complications of diseases. It is important to note that effective management of climacteric syndrome can not only alleviate symptoms but also prevent long-term health problems such as osteoporosis and cardiovascular diseases. Nevertheless, the human body is a complex system, and it's difficult to account for all the factors that impact a woman's health. It's important to consider a woman's overall health, lifestyle, habits, stress levels, and occupational hazards when assessing specific organs or conditions. However, constructing accurate models that take into account all these factors is challenging, especially when qualitative factors are involved. By allowing for imprecise and incomplete descriptions of a system, fuzzy modeling can provide a more accurate representation of the system under study. Fuzzy modeling can be particularly useful in predicting the risk of disorders in hormone-dependent organs and body systems of a menopausal woman, especially when there is uncertainty or imprecision in the available data. The aim of this research is to develop an
information technology that can accurately predict the course of climacteric syndrome. The developed information technology demonstrated a high degree of accuracy in predicting the severity of climacteric syndrome. The use of this technology can aid healthcare providers in making better treatment decisions and interventions for menopausal women experiencing climacteric syndrome.
