The ontology complex as the model of intelligent system to support rehabilitation of patients after stroke

The main incentive for the introduction of computer technologies into the healthcare system is the desire to significantly improve the quality of life of people. This includes improving the quality and speed of treatment, reducing the cost of medical services and acquiring effective means to comply with regulatory requirements.
At the present stage of rehabilitation development, the need for active implementation of medical decision support systems and artificial intelligence technologies becomes obvious. These technologies can significantly improve the understanding of the clinical aspects of disorders, the level of activity and participation of stroke patients in the rehabilitation process. A key component of the successful application of these systems is the importance of formalizing knowledge and creating ontologies that provide a structured and connected presentation of medical information and define the rules for their interpretation.
This paper presents a set of interrelated ontological models underlying the intellectual decision support system being developed in the rehabilitation of stroke patients. The IACPaaS cloud platform is used to implement the complex of ontologies. Ontologies and the target resources generated on their basis are the basic elements of the system being developed, which will soon be provided to healthcare professionals to solve urgent rehabilitation issues. Mechanisms are provided for the planned expansion and refinement of the knowledge base, which will allow the system to easily adapt to new medical research results and optimize its work as a whole.