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Data_Sheet_1_Machine Learning-Based Extraction of Breast Ca..:
Antoine Pironet
;
Hélène A. Poirel
;
Tim Tambuyzer
...
doi:10.3389/fdgth.2021.692077.s001. , 2021
Link:
https://doi.org/10.3389/fdgth.2021.692077.s001
RT Journal T1
Data_Sheet_1_Machine Learning-Based Extraction of Breast Cancer Receptor Status From Bilingual Free-Text Pathology Reports.zip
UL https://suche.suub.uni-bremen.de/peid=base-ftfrontimediafig:oai:figshare.com:article_15176526&Exemplar=1&LAN=DE A1 Antoine Pironet A1 Hélène A. Poirel A1 Tim Tambuyzer A1 Harlinde De Schutter A1 Lien van Walle A1 Joris Mattheijssens A1 Kris Henau A1 Liesbet Van Eycken A1 Nancy Van Damme YR 2021 K1 Health Information Systems (incl. Surveillance) K1 Health Informatics K1 Mobile Technologies K1 Innovation and Technology Management K1 machine learning K1 natural language processing K1 breast cancer K1 pathology K1 receptor status JF doi:10.3389/fdgth.2021.692077.s001 LK http://dx.doi.org/https://doi.org/10.3389/fdgth.2021.692077.s001 DO https://doi.org/10.3389/fdgth.2021.692077.s001 SF ELIB - SuUB Bremen
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