The Impact of De-identification on Downstream Named Entity Recognition in Clinical Text-Reference-Cited by-同舟云学术

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The Impact of De-identification on Downstream Named Entity Recognition in Clinical Text

Published:2020 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 11th International Workshop on Health Text Mining and Information Analysis
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Author:

Berg Hanna,Henriksson Aron,Dalianis Hercules

Publisher

Association for Computational Linguistics

Cited by 6 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. End-to-end pseudonymization of fine-tuned clinical BERT models;BMC Medical Informatics and Decision Making;2024-06-12

2. Harnessing Moderate-Sized Language Models for Reliable Patient Data De-identification in Emergency Department Records: An Evaluation of Strategies and Performance (Preprint);2024-02-28

3. AI in Healthcare Data Privacy-Preserving: Enhanced Trade-Off Between Security and Utility;Lecture Notes in Computer Science;2024

4. Names, Nicknames, and Spelling Errors: Protecting Participant Identity in Learning Analytics of Online Discussions;LAK23: 13th International Learning Analytics and Knowledge Conference;2023-03-13

5. Building a best-in-class automated de-identification tool for electronic health records through ensemble learning;Patterns;2021-06

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