Novosibirsk State University Journal of Information Technologies
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All Issues >> Contents: Volume 13, Issue No 3 (2015)

Application of model-theoretic methods and ontological modeling to automate the diagnosis of diseases
Dmitry Evgenyevich Palchunov, Gulnara Erkinovna Yakhyyayeva, Olga Vladimirovna Yasinskaya

Novosibirsk State University
Sobolev Institute of Mathematics SB RAS

UDC code: 004.4

Abstract
The article is devoted to developing automated methods of generating knowledge about possible diagnosis of the patient based on the analysis of clinical records of other patients. These methods are based on the model-theoretic approach to the formalization of the domain. An ontological model of the domain is constructed on the base of integration of knowledge extracted from clinical records. Formalization of estimated statements is described in the language of the fuzzy model theory. We use methodology of the formal concept analysis to obtain formular descriptions of diagnoses of patients.

Key Words
Ontology, Ontological model, Case-based model, Fuzzy model, Formal context, Formal concept, Diagnosis of diseases

How to cite:
Palchunov D. E., Yakhyyayeva G. E., Yasinskaya O. V. Application of model-theoretic methods and ontological modeling to automate the diagnosis of diseases // Vestnik NSU Series: Information Technologies. - 2015. - Volume 13, Issue No 3. - P. 42-51. - ISSN 1818-7900. (in Russian).

Full Text in Russian

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References
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Publication information
Main title Vestnik NSU Series: Information Technologies, Volume 13, Issue No 3 (2015).
Parallel title: Novosibirsk State University Journal of Information Technologies Volume 13, Issue No 3 (2015).

Key title: Vestnik Novosibirskogo gosudarstvennogo universiteta. Seriâ: Informacionnye tehnologii
Abbreviated key title: Vestn. Novosib. Gos. Univ., Ser.: Inf. Tehnol.
Variant title: Vestnik NGU. Seriâ: Informacionnye tehnologii

Year of Publication: 2015
ISSN: 1818-7900 (Print), ISSN 2410-0420 (Online)
Publisher: Novosibirsk State University Press
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