Comparative evaluation of automated information extraction from pathology reports in three German cancer registries

Comparative evaluation of automated information extraction from pathology reports in three German cancer registries

Feeding cancer registries with data extracted from textual reports, while maintaining a high level of data quality, has always been a labour-intensive task, due to the heterogeneity of the sources. The support of this task by IT solutions is expected to accelerate and optimise this process. To this...

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Bibliographic Details
Main Authors: Schulz, Stefan, Fix, Sonja, Klügl, Peter, Bachmayer, Tamira, Hartz, Tobias, Richter, Martin, Herm-Stapelberg, Nils, Daumke, Philipp
Format: Article
Language:deu
Published: German Medical Science GMS Publishing House 2021-03-01
Series:GMS Medizinische Informatik, Biometrie und Epidemiologie
Subjects:
cancer registries
text mining
Online Access:http://www.egms.de/static/en/journals/mibe/2021-17/mibe000215.shtml

Internet

http://www.egms.de/static/en/journals/mibe/2021-17/mibe000215.shtml

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