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

Theme issue 2019: Health Natural Language Processing (17) Ethics, Privacy, and Legal Issues (496)

Published on in Vol 8, No 4 (2020): April

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/17622, first published .
Re-examination of Rule-Based Methods in Deidentification of Electronic Health Records: Algorithm Development and Validation

Re-examination of Rule-Based Methods in Deidentification of Electronic Health Records: Algorithm Development and Validation

Re-examination of Rule-Based Methods in Deidentification of Electronic Health Records: Algorithm Development and Validation

Authors of this article:

Zhenyu Zhao1 Author Orcid Image ;   Muyun Yang1 Author Orcid Image ;   Buzhou Tang2 Author Orcid Image ;   Tiejun Zhao1 Author Orcid Image
Article Authors Cited by (3) Tweetations (2) Metrics

Journals

  1. Hao T, Huang Z, Liang L, Weng H, Tang B. Health Natural Language Processing: Methodology Development and Applications. JMIR Medical Informatics 2021;9(10):e23898 View
  2. Wang P, Li Y, Yang L, Li S, Li L, Zhao Z, Long S, Wang F, Wang H, Li Y, Wang C. An Efficient Method for Deidentifying Protected Health Information in Chinese Electronic Health Records: Algorithm Development and Validation. JMIR Medical Informatics 2022;10(8):e38154 View
  3. Liu J, Gupta S, Chen A, Wang C, Mishra P, Dai H, Wong Z, Jonnagaddala J. OpenDeID Pipeline for Unstructured Electronic Health Record Text Notes Based on Rules and Transformers: Deidentification Algorithm Development and Validation Study. Journal of Medical Internet Research 2023;25:e48145 View