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

Clinical Informatics (1022) Electronic Health Records (1053) Artificial Intelligence (1371) Clinical Information and Decision Making (1407) New Methods (944) Development and Evaluation of Research Methods, Instruments and Tools (481)

Published on in Vol 25 (2023)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/48145, first published .
OpenDeID Pipeline for Unstructured Electronic Health Record Text Notes Based on Rules and Transformers: Deidentification Algorithm Development and Validation Study

OpenDeID Pipeline for Unstructured Electronic Health Record Text Notes Based on Rules and Transformers: Deidentification Algorithm Development and Validation Study

OpenDeID Pipeline for Unstructured Electronic Health Record Text Notes Based on Rules and Transformers: Deidentification Algorithm Development and Validation Study

Authors of this article:

Jiaxing Liu1 Author Orcid Image ;   Shalini Gupta2 Author Orcid Image ;   Aipeng Chen3 Author Orcid Image ;   Chen-Kai Wang4 Author Orcid Image ;   Pratik Mishra2 Author Orcid Image ;   Hong-Jie Dai5 Author Orcid Image ;   Zoie Shui-Yee Wong6, 7 Author Orcid Image ;   Jitendra Jonnagaddala8, 9 Author Orcid Image
Article Authors Cited by (3) Tweetations (10) Metrics

Journals

  1. Cheng J. Applications of Large Language Models in Pathology. Bioengineering 2024;11(4):342 View
  2. Dorémus O, Russon D, Contrand B, Guerra-Adames A, Avalos-Fernandez M, Gil-Jardiné C, Lagarde E. Harnessing Moderate-Sized Language Models for Reliable Patient Data De-identification in Emergency Department Records: An Evaluation of Strategies and Performance (Preprint). JMIR AI 2024 View