Medical diagnosis ontology for intelligent decision support systems

An ontology for representation of knowledge about the diagnosis of diseases and syndromes is described. It allows experts to represent knowledge about the diagnosis of a wide range of diseases. Knowledge of the disease diagnosis including its form, etiology, pathogenesis, variants of the clinical course is represented according to their clinical classification: a set of diagnostic features, alternative symptom complexes with pre-morbid biological, personality and other factors, dynamic signs of symptoms and clinical features altered by the impact of events. The ranking of symptoms by specificity is possible, as well as a description of the conditions predisposing or contributing to the disease, which allows to attribute the disease with a set of specific features. The article includes an informal description of the ontology, as well as its model with a description of the main terms, knowledge, situations and limitations of their integrity in the form of ontological agreements. An example of the use of the ontology for the formation of a knowledge base on diagnosis and differential diagnosis of diseases from the group "Diseases of the digestive organs" is given in the article. The ontology is implemented on the cloud platform of IACPaaS and now is actively used by experts to create knowledge bases in various fields of medicine.