Deidentifying a Norwegian clinical corpus - An effort to create a privacy-preserving Norwegian large clinical language modelShow others and affiliations
Number of Authors: 62024 (English)In: Proceedings of the CALD-pseudo Workshop at the 18th Conference of the European Chapter of the Association for Computational Linguistics, EACL 2024, Association for Computational Linguistics , 2024, p. 37-43Conference paper, Published paper (Refereed)
Abstract [en]
This study discusses the methods and challenges of deidentifying and pseudonymizing Norwegian clinical text for research purposes. The results of the NorDeid tool for deidentification and pseudonymization on different types of protected health information were evaluated and discussed, as well as the extension of its functionality with regular expressions to identify specific types of sensitive information. This research used a clinical corpus of adult patients treated in a gastro-surgical department in Norway, which contains approximately nine million clinical notes. The study also highlights the challenges posed by the unique language and clinical terminology of Norway and emphasizes the importance of protecting privacy and the need for customized approaches to meet legal and research requirements.
Place, publisher, year, edition, pages
Association for Computational Linguistics , 2024. p. 37-43
National Category
Natural Language Processing
Research subject
Computer and Systems Sciences
Identifiers
URN: urn:nbn:se:su:diva-231309OAI: oai:DiVA.org:su-231309DiVA, id: diva2:1872804
Conference
Tthe 18th Conference of the European Chapter of the Association for Computational Linguistics (EACL), 17-22 March 2024, St. Julians, Malta.
2024-06-182024-06-182025-02-07Bibliographically approved