Annotating Health Records: Does Ground Truth Even Exist?
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216224%3A14330%2F24%3A00138751" target="_blank" >RIV/00216224:14330/24:00138751 - isvavai.cz</a>
Result on the web
<a href="https://nlp.fi.muni.cz/raslan/2024/paper12.pdf" target="_blank" >https://nlp.fi.muni.cz/raslan/2024/paper12.pdf</a>
DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
Annotating Health Records: Does Ground Truth Even Exist?
Original language description
This paper introduces a new ground truth subset of the CSEHR dataset, a dataset of Czech health records annotated using a schema of 14 classes that is an adapted version of Apache cTAKES Core Clinical Element types. The paper details the considerations involved in (re)defining individual annotation classes in attempts to maximize utility in computational understanding of medical text.
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
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Result continuities
Project
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Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2024
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 Eighteenth Workshop on Recent Advances in Slavonic Natural Languages Processing, RASLAN 2024
ISBN
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ISSN
2336-4289
e-ISSN
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Number of pages
10
Pages from-to
65-74
Publisher name
Tribun EU
Place of publication
Brno
Event location
Brno
Event date
Jan 1, 2024
Type of event by nationality
CST - Celostátní akce
UT code for WoS article
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