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@inproceedings{1729516,
author = {Anetta, Krištof},
address = {Brno},
booktitle = {Proceedings of the Fourteenth Workshop on Recent Advances in Slavonic Natural Language Processing, RASLAN 2020},
editor = {Aleš Horák},
keywords = {EHR; electronic health records; named entity recognition; text data mining; NLP; natural language processing; Slavic languages; Polish},
howpublished = {tištěná verze "print"},
language = {eng},
location = {Brno},
isbn = {978-80-263-1600-8},
pages = {13-22},
publisher = {Tribun EU},
title = {Data Mining from Free-Text Health Records : State of the Art, New Polish Corpus},
url = {https://nlp.fi.muni.cz/raslan/raslan20.pdf#page=21},
year = {2020}
}
TY - JOUR
ID - 1729516
AU - Anetta, Krištof
PY - 2020
TI - Data Mining from Free-Text Health Records : State of the Art, New Polish Corpus
PB - Tribun EU
CY - Brno
SN - 9788026316008
KW - EHR
KW - electronic health records
KW - named entity recognition
KW - text data mining
KW - NLP
KW - natural language processing
KW - Slavic languages
KW - Polish
UR - https://nlp.fi.muni.cz/raslan/raslan20.pdf#page=21
N2 - This paper deals with data mining from free-form text electronic health records both from global perspective and with specific application to Slavic languages. It introduces the reader to the promises and challenges of this enterprise and provides a short overview of the global state of the art and of the general absence of this kind of research in Central European Slavic languages. It describes pl_ehr_cardio, a new corpus of Polish health records with 18 years’ worth of medical text. This paper marks the beginning of a pioneering research project in medical text data mining in Central European Slavic languages.
ER -
ANETTA, Krištof. Data Mining from Free-Text Health Records : State of the Art, New Polish Corpus. In Aleš Horák. \textit{Proceedings of the Fourteenth Workshop on Recent Advances in Slavonic Natural Language Processing, RASLAN 2020}. Brno: Tribun EU, 2020, p.~13-22. ISBN~978-80-263-1600-8.
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