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An analysis of the results of the inductive formation of diagnostic medical knowledge databases

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Abstract

This paper proposes a problem-oriented method for the objective formation of easily interpretable knowledge databases for intelligent systems. We describe the InForMedKB software complex, which is designed for the inductive formation of medical diagnostics knowledge databases; it was used to perform the proposed method. Expert analysis of the results of using the developed software complex, viz., the inductively formed Acute Appendicitis database of medical diagnostic knowledge for a mathematical dependence model with parameters, which is near real-life ontology of medical diagnostics, is given.

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Authors and Affiliations

  1. Intelligent Systems Laboratory, Institute of Automation and Control Processes, Far East Branch, Russian Academy of Sciences, Vladivostok, Russia

    A. S. Kleshchev, M. V. Petryaeva & M. Yu. Chernyakhovskaya

  2. Department of Applied Mathematics, Mechanics, Control and Software, School of Natural Sciences, Far Eastern Federal University, Vladivostok, Russky Island, Russia

    S. V. Smagin

Authors
  1. A. S. Kleshchev
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  2. M. V. Petryaeva
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  3. S. V. Smagin
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  4. M. Yu. Chernyakhovskaya
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Corresponding authors

Correspondence to A. S. Kleshchev, M. V. Petryaeva or S. V. Smagin.

Additional information

Original Russian Text © A.S. Kleshchev, M.V. Petryaeva, S.V. Smagin, M.Yu. Chernyakhovskaya, 2016, published in NauchnoTekhnicheskaya Informatsiya, Seriya 2, 2016, No. 4, pp. 11–19.

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Kleshchev, A.S., Petryaeva, M.V., Smagin, S.V. et al. An analysis of the results of the inductive formation of diagnostic medical knowledge databases. Autom. Doc. Math. Linguist. 50, 70–78 (2016). https://doi.org/10.3103/S0005105516020035

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  • DOI: https://doi.org/10.3103/S0005105516020035

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