Ontological shell for constructing services for forecasting and assessing patients' conditions

The paper describes a cloud shell for creating risk assessment systems and predicting the patient's condition based on information from an electronic medical record or other document. The shell integrates various methods and approaches for solving such problems, providing a means of declarative description of the rules for interpreting trained predictive models and knowledge about the dynamics of disease development to generate a detailed explanation. The shell allows you to “collect” in the service for a group of diseases or a section of medicine of interest those implementations of methods for assessing risks and predicting conditions and those knowledge bases about the pathogenesis of diseases that doctors are ready to trust.