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The paper presents a cloud infrastructure for creation of interpretable diagnostic knowledge bases for intelligent decision support systems in medicine. An ontology of medical diagnostics allows us to form diseases regardless their etiology as a multivariate developing internal process. The relations types being defined in the ontology allow users to create a knowledge base sufficient for search of hypotheses of possible single diagnoses, for detection of combined and complicated pathologies, and for reduction of a set of hypotheses of diagnosis. The offered infrastructure includes the following tools: the knowledge base editor being generated on ontology, the terminology database editor, the tool for estimation of knowledge base quality and some instruments of automation of development and improvement of knowledge base. The infrastructure is implemented on the IACPaaS platform and used by experts to create knowledge bases in various fields of medicine. The article is useful for developers of medical diagnostics systems. Keywords—diagnostics, disease, ontology, domain terminology base, knowledge base, intelligent system, knowledge-

Cloud Infrastructure for Creation of Interpretable Diagnostic Knowledge Bases of Diseases Regardless their Etiology