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

Electronic Health Records (1034) Articles* (13) Ethics, Privacy, and Legal Issues (470) Machine Learning (1434) Natural Language Processing (677) Policy (53) Secondary Use of Clinical Data for Research and Surveillance (358) Big Data (235)

Published on in Vol 10, No 8 (2022): August

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/38154, first published .
An Efficient Method for Deidentifying Protected Health Information in Chinese Electronic Health Records: Algorithm Development and Validation

An Efficient Method for Deidentifying Protected Health Information in Chinese Electronic Health Records: Algorithm Development and Validation

An Efficient Method for Deidentifying Protected Health Information in Chinese Electronic Health Records: Algorithm Development and Validation

Authors of this article:

Peng Wang1 Author Orcid Image ;   Yong Li2 Author Orcid Image ;   Liang Yang3 Author Orcid Image ;   Simin Li3 Author Orcid Image ;   Linfeng Li3 Author Orcid Image ;   Zehan Zhao4 Author Orcid Image ;   Shaopei Long2 Author Orcid Image ;   Fei Wang5 Author Orcid Image ;   Hongqian Wang5 Author Orcid Image ;   Ying Li5 Author Orcid Image ;   Chengliang Wang1 Author Orcid Image
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