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

Knowledge Translation and Implementation Science (437) Clinical Informatics (1142) mHealth in a Clinical Setting (668) Artificial Intelligence (1680) Natural Language Processing (791) Secondary Use of Clinical Data for Research and Surveillance (412) Design of Processes and Workflows (132) Security and Privacy of mHealth and uHealth (142)

Published on in Vol 26 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/55676, first published .
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

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 (1) 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