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Creating a rule based system for text mining of Norwegian breast cancer pathology reports
Stockholm University, Faculty of Social Sciences, Department of Computer and Systems Sciences.
Stockholm University, Faculty of Social Sciences, Department of Computer and Systems Sciences.
2015 (English)In: Proceedings of the Sixth International Workshop on Health Text Mining and Information Analysis, Association for Computational Linguistics, 2015, p. 73-78Conference paper, Published paper (Refereed)
Abstract [en]

National cancer registries collect cancer related information from multiple sources and make it available for research. Part of this information originates from pathology reports, and in this pre-study the possibility of a system for automatic extraction of information from Norwegian pathology reports is investigated. A set of 40 pathology reports describing breast cancer tissue samples has been used to develop a rule based system for information extraction. To validate the performance of this system its output has been compared to the data produced by experts doing manual encoding of the same pathology reports. On average, a precision of 80%, a recall of 98% and an F-score of 86% has been achieved, showing that such a system is indeed feasible.

Place, publisher, year, edition, pages
Association for Computational Linguistics, 2015. p. 73-78
Keywords [en]
pathology reports, information extraction
National Category
Information Systems
Research subject
Computer and Systems Sciences
Identifiers
URN: urn:nbn:se:su:diva-122800ISBN: 978-1-941643-32-7 (print)OAI: oai:DiVA.org:su-122800DiVA, id: diva2:868648
Conference
Sixth International Workshop on Health Text Mining and Information Analysis (Louhi), Lisbon, Portugal, 17 September, 2015
Available from: 2015-11-11 Created: 2015-11-10 Last updated: 2018-11-05Bibliographically approved

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CiteExportLink to record
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  • apa
  • ieee
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Language
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  • nn-NO
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Output format
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  • asciidoc
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