
<oai_dc:dc xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/">
  <dc:creator id="https://orcid.org/0000-0001-7232-3755 https://plus.cobiss.net/cobiss/sr/sr/conor/86849033">Marovac, Ulfeta</dc:creator>
  <dc:creator id="https://orcid.org/0000-0003-4312-3839 https://plus.cobiss.net/cobiss/sr/sr/conor/29219175">Avdić, Aldina</dc:creator>
  <dc:date>2021</dc:date>
  <dc:format>application/pdf</dc:format>
  <dc:format>1162128 bytes</dc:format>
  <dc:description xml:lang="eng">Abstract:
The expansion of electronic health has produced a large amount of information
in medical information systems in a structured and unstructured format. The
processing of unstructured data in the form of text is performed using natural
language processing techniques. Natural language processing requires specific
resources for processing text depending on the domain of the text as well as the
language in which it is written. This paper aims to present the available tools,
lexical resources, and corpora used in the analysis of clinical texts.</dc:description>
  <dc:title xml:lang="eng">The Tools and Resources for Clinical Text Processing</dc:title>
  <dc:subject xml:lang="eng">Keywords: natural language processing, clinical texts, lexical resources.</dc:subject>
  <dc:language>eng</dc:language>
  <dc:rights>All rights reserved</dc:rights>
  <dc:identifier>https://phaidrabg.bg.ac.rs/o:35333</dc:identifier>
  <dc:identifier>doi:10.15308/Sinteza-2021-134-140</dc:identifier>
  <dc:type>info:eu-repo/semantics/article</dc:type>
  <dc:source>SINTEZA 2021, INTERNATIONAL SCIENTIFIC CONFERENCE ON INFORMATION TECHNOLOGY AND DATA RELATED RESEARCH</dc:source>
  <dc:source>startpage: 134</dc:source>
  <dc:source>endpage: 140</dc:source>
</oai_dc:dc>