Abstract
The paper describes a generalized ontology that makes it possible to form knowledge about various types of treatment (medicamental, restorative, surgical), regardless of the branch of medicine. Ontology is a necessary component for creating an information system focused on solving a class of treatment planning problems. Planning allows you to combine treatments for various diseases and branches of medicine. A method for adapting a generalized ontology to various types of treatment and terminology, which is familiar to the developer of the knowledge base, an expert in the subject area, is described. All specialized ontologies for specific types of treatment are inherited from the generalized ontology, preserving its structure and semantic dependencies. This approach ensures the creation of knowledge bases in decision support systems for the complex prescription of patient treatment, opening up the possibility of creating a single solver, which provides a significant reduction in system development costs. The generalized ontology was developed on the IACPaaS cloud platform and is currently used to create knowledge bases in various fields of medicine.
Publisher
Samara National Research University