INTELLIGENT SYSTEM FOR MONITORING THE RISK OF HYPERTENSION
Arterial hypertension is one of the most common in the world and difficult to diagnose in the early stages of the disease. The development of arterial hypertension can in turn lead to such cardiovascular diseases as heart attack, stroke, heart failure and others. The risk of developing arterial hypertension in each patient is individual, depending on a set of characteristics. The research purpose was to identify and monitor the risk factors for the development of arterial hypertension with the formation of personal recommendations for health conservation based on the use of a problem - oriented intellectual system. Materials and methods. The work was carried out in three stages: knowledge extraction, structuring and formalization of knowledge. Extraction of knowledge was carried out using textual and communicative methods. Interview" method was used as on of the communicative methods of extracting knowledge, it relates to active individual methods. The structuring of information in this work included both the use of attributes, implying the introduction of the characteristics and values of each factor, and the creation of a single model by constructing a conceptual map (K - map). For the formalization of knowledge, a heterogeneous semantic network was used, on the basis of which an intelligent system was created for the detection and monitoring of arterial hypertension. Results and its discussion. Based on the analysis of domestic and foreign literature on arterial hypertension, as well as in collaboration with an expert cardiologist, a pool of concepts was developed relating to the risk of the occurrence and development of arterial hypertension. The obtained concepts formed the basis of nodes and relationships for creating conceptual maps. At the stage of “Formalization of Knowledge” a heterogeneous semantic network was built by working out each attribute, its characteristics, relations between attributes. Conclusion. Arterial hypertension - one of the most important risk factors for coronary heart disease and stroke, is a disease that is difficult to detect during medical examinations of the population. An intelligent system for detecting and controlling arterial hypertension, created on the basis of a heterogeneous semantic network, will allow you to identify patients with a risk of incidence of arterial hypertension and provide them with personalized recommendations on lifestyle changes.