Semantic models for assessing the influence of a combination of factors on the development of diseases

The analysis of approaches and solutions to the problem of risk assessment and prognosis of conditions and development of diseases is presented. It is shown that the implementation of software services on various platforms complicates the possibility of their comprehensive use and the choice between the available solutions. This has risen the urgency of creating a unified semantic model of diseases that integrates various methods and approaches to solving this problem and accumulates knowledge about risks and prognosis in a unified information space. A new semantic model is proposed to take into account influence of a combination of factors on development of various events that threaten health and life. The feature of the model is its independence from a specific disease or a group of diseases, which allows it to be used in various branches of medicine. This model has been tested on the IACPaaS platform. A software solver has been implemented that allows generating a clear explanation based on the knowledge base and analysis of the patient's electronic medical record. The application of the new model for the formation of knowledge is shown on the example of risk assessment and prognosis of cardiovascular events.