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JOURNALS // Informatika i Ee Primeneniya [Informatics and its Applications] // Archive

Inform. Primen., 2022 Volume 16, Issue 4, Pages 80–86 (Mi ia819)

This article is cited 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

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.

Received: 14.10.2022

DOI: 10.14357/19922264220412



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