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Informatika i Ee Primeneniya [Informatics and its Applications], 2022, Volume 16, Issue 4, Pages 80–86
DOI: https://doi.org/10.14357/19922264220412
(Mi ia819)
 

This article is cited in 1 scientific paper (total in 1 paper)

Model and technology for discovering new terms in medical texts

I. M. Zatsmana, O. V. Zolotarevb, A. K. Khakimovab, Gu Dongxiaoc

a Federal Research Center “Computer Science and Control” of the Russian Academy of Sciences, 44-2 Vavilov Str., Moscow 119333, Russian Federation
b Russian New University, 22 Radio Str., Moscow 105005, Russian Federation
c Hefei University of Technology, 193 Tunxi Road, Hefei, Anhui 230009, P.R. China
Full-text PDF (435 kB) Citations (1)
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Abstract: The model of information technology for discovering new terms in medical texts, which belongs to the previously defined class of informatics' medium models, is considered. In the conducted experiment, the MeSH (Medical Subject Headers) dictionary is used to determine the novelty of terms which was created and updated by the National Library of Medicine (USA). The emergence of new terms is due to the representation (in medical papers and other scientific texts) of new knowledge about the studied diseases, methods of their treatment, and medicines used which has not yet been reflected in medical dictionaries and thesauri. In information systems of medical institutions, the proposed technology makes it possible to regularly update the profiles of the studied diseases corresponding to their subject domain. The aim of the paper is to describe the medium model of information technology for updating terminological profiles of diseases.
Keywords: medium models in informatics, medical texts, terminological profile, discovering new terms in texts.
Funding agency Grant number
Russian Foundation for Basic Research 21-57-53018
The reported study was funded by RFBR and NSFC, project number 21-57-53018.
Received: 14.10.2022
Bibliographic databases:
Document Type: Article
Language: Russian
Citation: I. M. Zatsman, O. V. Zolotarev, A. K. Khakimova, Gu Dongxiao, “Model and technology for discovering new terms in medical texts”, Inform. Primen., 16:4 (2022), 80–86
Citation in format AMSBIB
\Bibitem{ZatZolKha22}
\by I.~M.~Zatsman, O.~V.~Zolotarev, A.~K.~Khakimova, Gu~Dongxiao
\paper Model and technology for discovering new terms in medical texts
\jour Inform. Primen.
\yr 2022
\vol 16
\issue 4
\pages 80--86
\mathnet{http://mi.mathnet.ru/ia819}
\crossref{https://doi.org/10.14357/19922264220412}
\mathscinet{http://mathscinet.ams.org/mathscinet-getitem?mr=4516563}
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  • https://www.mathnet.ru/eng/ia/v16/i4/p80
  • This publication is cited in the following 1 articles:
    Citing articles in Google Scholar: Russian citations, English citations
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    Информатика и её применения
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    References:4
     
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