Medical Knowledge Resources for Text-Mining of Health Records in Czech, Polish, and Slovak
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216224%3A14330%2F22%3A00127483" target="_blank" >RIV/00216224:14330/22:00127483 - isvavai.cz</a>
Result on the web
<a href="https://nlp.fi.muni.cz/raslan/2022/paper14.pdf" target="_blank" >https://nlp.fi.muni.cz/raslan/2022/paper14.pdf</a>
DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
Medical Knowledge Resources for Text-Mining of Health Records in Czech, Polish, and Slovak
Original language description
Knowledge extraction from medical text in small languages like Czech, Polish or Slovak is challenging due to the insufficiency of languagespecific medical resources (pretrained models, ontologies, dictionaries). This paper is a survey of noteworthy options for researchers targeting these languages, divided into two sections. First, since the UMLS Metathesaurus for English is by far the most extensive and detailed medical knowledge resource in Western medicine, appreciable results can be achieved by machine-translating the mined text to English – therefore, the relevant English components of UMLS are introduced. Second come the languagespecific resources for each language, detailing the publishing institutions, current website locations, contents, and file formats. The contribution of this paper is in collecting and pre-screening widely disparate sources needed for successful medical knowledge extraction in Central European Slavic languages.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
10200 - Computer and information sciences
Result continuities
Project
<a href="/en/project/EF19_073%2F0016943" target="_blank" >EF19_073/0016943: Internal grant agency of Masaryk University</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>S - Specificky vyzkum na vysokych skolach
Others
Publication year
2022
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Proceedings of the Sixteenth Workshop on Recent Advances in Slavonic Natural Languages Processing, RASLAN 2022
ISBN
9788026317524
ISSN
2336-4289
e-ISSN
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Number of pages
9
Pages from-to
161-169
Publisher name
Tribun EU
Place of publication
Brno
Event location
Brno
Event date
Jan 1, 2022
Type of event by nationality
CST - Celostátní akce
UT code for WoS article
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