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

Leibo Liu   1 , PhD ;   Oscar Perez-Concha   1 , PhD ;   Anthony Nguyen   2 , PhD ;   Vicki Bennett   3 , MHS ;   Victoria Blake   4 , MSc ;   Blanca Gallego   1 , PhD ;   Louisa Jorm   1 , PhD

1 Centre for Big Data Research in Health, University of New South Wales, Sydney, Australia

2 Australian e-Health Research Centre (AEHRC), Commonwealth Scientific and Industrial Research Organisation (CSIRO), Brisbane, Australia

3 Metadata, Information Management and Classifications Unit (MIMCU), Australian Institute of Health and Welfare, Canberra, Australia

4 Eastern Heart Clinic, Prince of Wales Hospital, Randwick, Australia

Corresponding Author:

  • Leibo Liu, PhD
  • Centre for Big Data Research in Health
  • University of New South Wales
  • Level 2, AGSM Building
  • G27, Botany St
  • Sydney, 2052
  • Australia
  • Phone: 61 290657847
  • Fax: 61 290657847
  • Email: z5250377@ad.unsw.edu.au