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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, s.~13-22. ISBN~978-80-263-1600-8.
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