A multilevel information model for adaptive information systems for data processing and analysis is discussed. The model is to be used for building of real world object models taking into account operational and historical data. The model has 3 levels of abstraction: abstract conceptual model, model of subject domain and models of target system. In the article problems of usage of this model in medicine domain are discussed. The models are realized as ontologies. Suggested approach was tested while building the system of medical data processing for Almazov Center in Saint Petersburg

Authors: D. A. Korobov, M. V. Lapaev, A. I. Vodyaho, N. A. Zhukova

Direction: Informatics and Computer Technologies

Keywords: Information models, medical data processing and analysis, deep learning, semantic technologies

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