Development of a decision making model for diagnosing diseases based on fuzzy logic

The aim of the study is computer-aided decision-making support system (DSS) based on statistical data processing for the diagnosis of diseases. The modern pace of life leaves little time for a person to be able to see a doctor, sometimes even when a person falls ill. With regard to medical services, the introduction and dissemination of information technologies are becoming more and more relevant and relevant. A visit to the doctor takes a lot of time. To obtain any information, not to mention the actual examination with the need to communicate with the doctor, in some medical institutions it takes a lot of time, nerves and energy. Today, modern man cannot afford to waste time. With the emergence of various ailments in the human user there is a need for rapid diagnosis of the state of health. The problem here is to recognize the disease in time, prescribe the correct treatment and still force the user to see a doctor, a specialist for examination with the help of special medical technologies, continued diagnosis and subsequent treatment...