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Knowledge Engineering in Construction of Expert Systems on Hereditary Diseases

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Artificial Intelligence (RCAI 2018)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 934))

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Abstract

The paper considers medical knowledge extraction for the diagnosis of rare hereditary diseases. The specific feature of the proposed approach is the combination of expert estimates of the symptom presence probability with three complementary factors of confidence: time of manifestation, severity and frequency of symptom manifestation in different age ranges. Preliminary textological cards used by experts and cognitive scientists are formed based on the linguistic analysis of related literature.

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Author information

Authors and Affiliations

  1. Federal Research Center “Computer Science and Control” of RAS, Vavilova str. 44, kor. 2, Moscow, 119333, Russian Federation

    Boris A. Kobrinskii & Nikolay A. Blagosklonov

  2. Russian Medical Academy of Continuous Professional Education, Barrikadnaya str. 2/1, Moscow, 125993, Russian Federation

    Nataliya S. Demikova

Authors
  1. Boris A. Kobrinskii
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  2. Nataliya S. Demikova
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  3. Nikolay A. Blagosklonov
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Corresponding author

Correspondence to Boris A. Kobrinskii .

Editor information

Editors and Affiliations

  1. Department of Data Analysis and Artificial Intelligence, National Research University Higher School of Economics, Moscow, Russia

    Sergei O. Kuznetsov

  2. Federal Research Center Computer Science and Control, Institute of Informatics Problems, Moscow, Russia

    Gennady S. Osipov

  3. Institute for Information Transmission Problems, Russian Academy of Sciences, Moscow, Russia

    Vadim L. Stefanuk

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Kobrinskii, B.A., Demikova, N.S., Blagosklonov, N.A. (2018). Knowledge Engineering in Construction of Expert Systems on Hereditary Diseases. In: Kuznetsov, S., Osipov, G., Stefanuk, V. (eds) Artificial Intelligence. RCAI 2018. Communications in Computer and Information Science, vol 934. Springer, Cham. https://doi.org/10.1007/978-3-030-00617-4_4

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  • DOI: https://doi.org/10.1007/978-3-030-00617-4_4

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-00616-7

  • Online ISBN: 978-3-030-00617-4

  • eBook Packages: Computer ScienceComputer Science (R0)

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