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

Health Services Research (482) Tools, Programs and Algorithms (267) Clinical Informatics (1028) Natural Language Processing (693) Electronic Health Records (1058) Ontologies, Classifications, and Coding (239)

Published on in Vol 12 (2023)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/46322, first published .
Web-Based Application Based on Human-in-the-Loop Deep Learning for Deidentifying Free-Text Data in Electronic Medical Records: Development and Usability Study

Web-Based Application Based on Human-in-the-Loop Deep Learning for Deidentifying Free-Text Data in Electronic Medical Records: Development and Usability Study

Web-Based Application Based on Human-in-the-Loop Deep Learning for Deidentifying Free-Text Data in Electronic Medical Records: Development and Usability Study

Authors of this article:

Leibo Liu1 Author Orcid Image ;   Oscar Perez-Concha1 Author Orcid Image ;   Anthony Nguyen2 Author Orcid Image ;   Vicki Bennett3 Author Orcid Image ;   Victoria Blake4 Author Orcid Image ;   Blanca Gallego1 Author Orcid Image ;   Louisa Jorm1 Author Orcid Image
Article Authors Cited by (3) Tweetations (2) Metrics

Journals

  1. Blake V, Jorm L, Yu J, Lee A, Gallego B, Ooi S. Data Resource Profile: The Cardiac Analytics and Innovation (CardiacAI) Data Repository. International Journal of Epidemiology 2024;53(2) View
  2. Yuan H, Kang L, Li Y, Fan Z. Human‐in‐the‐loop machine learning for healthcare: Current progress and future opportunities in electronic health records. Medicine Advances 2024;2(3):318 View
  3. 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