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This paper is in the following e-collection/theme issue:

Knowledge Translation and Implementation Science (830) Clinical Informatics (2439) Natural Language Processing (1360) mHealth in a Clinical Setting (1245) Design of Processes and Workflows (313) Security and Privacy of mHealth and uHealth (221) Secondary Use of Clinical Data for Research and Surveillance (675) Artificial Intelligence (5119)

Published on in Vol 26 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/55676, first published .
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An Extensible Evaluation Framework Applied to Clinical Text Deidentification Natural Language Processing Tools: Multisystem and Multicorpus Study

An Extensible Evaluation Framework Applied to Clinical Text Deidentification Natural Language Processing Tools: Multisystem and Multicorpus Study

Authors of this article:

Paul M Heider1 Author Orcid Image ;   Stéphane M Meystre2 Author Orcid Image
Article Authors Cited by (4) Tweetations (5) Metrics

Journals

  1. Sundrelingam V, Parimoo S, Pogacar F, Koppula R, Shin S, Pou-Prom C, Roberts S, Verma A, Razak F. pyDeid: an improved, fast, flexible, and generalizable rule-based approach for deidentification of free-text medical records. JAMIA Open 2024;8(1) View
  2. Faustini P, McIver A, Sullivan R, Dras M. De-identification of clinical data: A systematic review of free text, image and tabular data approaches. International Journal of Medical Informatics 2026;208:106225 View
  3. Litvak M, Jorge A. Recent Advances in Text Anonymization: A Systematic Review. WIREs Data Mining and Knowledge Discovery 2026;16(3) View
  4. Farrag N, Haroon H, Tijani M, Albert M, Ramos J, Sterling E, Halas M, Das S, Bermudez P, Pilgram L, Edwards J, Cobey K. De-identification of health data for open sharing: A scoping review. Journal of Biomedical Informatics 2026;184:105118 View