Benchmarking transformer-based models for medical record de-identification in a single center multi-specialty evaluation
Summary: Protecting patient confidentiality is central to enabling research using electronic health records. Automated text de-identification offers a scalable alternative to manual redaction. However, different approaches vary in accuracy and adaptability. We evaluated four transformer-based, task-...
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| 主要な著者: | , , , , , , , |
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| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
Elsevier
2025-12-01
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| シリーズ: | iScience |
| 主題: | |
| オンライン･アクセス: | http://www.sciencedirect.com/science/article/pii/S2589004225019935 |
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