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International Conference on Analysis of Images, Social Networks and Texts

AIST 2019: Analysis of Images, Social Networks and Texts pp 143–153Cite as

Formalization of Medical Records Using an Ontology: Patient Complaints

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Part of the book series: Communications in Computer and Information Science ((CCIS,volume 1086))

Abstract

Medical records contain a textual description of such important information as patients’ complaints, diseases progress and therapy. An extraction of this information could allow starting with processing information stored in medical databases. In this article we introduce a short description of a medical ontology storing information on patients’ complaints. We also describe an algorithm that uses this ontology for extraction of claims from texts of medical records. The algorithm combines both syntactic properties, and peculiarities, of a text and connections between diseases’ properties and their values. The algorithm corrects syntactical mistakes according to the hierarchical information from the ontology. The resulting algorithm was proved on 3000 clinical records of Department of Neurosurgery of FEFU.

The reported study was funded by RFBR according to the research project # 18-29-03131.

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Author information

Authors and Affiliations

  1. National Research University “Higher School of Economics”, Moscow, Russia

    Eduard Klyshinsky

  2. Institute of Automation and Control Processes, FEB, RAS, Vladivostok, Russia

    Valeriya V. Gribova, Elena A. Shalfeeva & Dmitry B. Okun

  3. Vladivostok State University of Economics and Service, Vladivostok, Russia

    Carina Shakhgeldyan

  4. Far East Federal University, Vladivostok, Russia

    Carina Shakhgeldyan, Boris I. Geltser & Tatiana A. Gorbach

  5. Keldysh Institute of Applied Mathematics, RAS, Moscow, Russia

    Olesia D. Karpik

Authors
  1. Eduard Klyshinsky
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  2. Valeriya V. Gribova
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  3. Carina Shakhgeldyan
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  4. Elena A. Shalfeeva
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  5. Dmitry B. Okun
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  6. Boris I. Geltser
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  7. Tatiana A. Gorbach
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  8. Olesia D. Karpik
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Corresponding author

Correspondence to Eduard Klyshinsky .

Editor information

Editors and Affiliations

  1. RWTH Aachen University, Aachen, Germany

    Wil M. P. van der Aalst

  2. University of Ljubljana, Ljubljana, Slovenia

    Vladimir Batagelj

  3. National Research University Higher School of Economics, Moscow, Russia

    Dmitry I. Ignatov

  4. Institute of Mathematics and Mechanics Yekaterinburg, Yekaterinburg, Russia

    Michael Khachay

  5. National Research University Higher School of Economics, Moscow, Russia

    Valentina Kuskova

  6. University of Oslo, Oslo, Norway

    Andrey Kutuzov

  7. National Research University Higher School of Economics, Moscow, Russia

    Sergei O. Kuznetsov

  8. National Research University Higher School of Economics, Moscow, Russia

    Irina A. Lomazova

  9. Moscow State University, Moscow, Russia

    Natalia Loukachevitch

  10. Loria, Vandoeuvre lès Nancy, France

    Amedeo Napoli

  11. University of Florida, Gainesville, USA

    Panos M. Pardalos

  12. Ca' Foscari University of Venice, Venezia Mestre, Italy

    Marcello Pelillo

  13. National Research University Higher School of Economics, Nizhny Novgorod, Russia

    Andrey V. Savchenko

  14. Kazan Federal University, Kazan, Russia

    Elena Tutubalina

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Klyshinsky, E. et al. (2020). Formalization of Medical Records Using an Ontology: Patient Complaints. In: van der Aalst, W., et al. Analysis of Images, Social Networks and Texts. AIST 2019. Communications in Computer and Information Science, vol 1086. Springer, Cham. https://doi.org/10.1007/978-3-030-39575-9_14

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  • DOI: https://doi.org/10.1007/978-3-030-39575-9_14

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-39574-2

  • Online ISBN: 978-3-030-39575-9

  • eBook Packages: Computer ScienceComputer Science (R0)

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