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

Clinical Information and Decision Making (1436) Natural Language Processing (708) Tools, Programs and Algorithms (275) Imaging Informatics (202) Ontologies, Classifications, and Coding (243) Clinical Informatics (1050)

Published on in Vol 23, No 10 (2021): October

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/25378, first published .
Developing a RadLex-Based Named Entity Recognition Tool for Mining Textual Radiology Reports: Development and Performance Evaluation Study

Developing a RadLex-Based Named Entity Recognition Tool for Mining Textual Radiology Reports: Development and Performance Evaluation Study

Developing a RadLex-Based Named Entity Recognition Tool for Mining Textual Radiology Reports: Development and Performance Evaluation Study

Authors of this article:

Shintaro Tsuji1, 2 Author Orcid Image ;   Andrew Wen1 Author Orcid Image ;   Naoki Takahashi3 Author Orcid Image ;   Hongjian Zhang2 Author Orcid Image ;   Katsuhiko Ogasawara2 Author Orcid Image ;   Gouqian Jiang1 Author Orcid Image
Article Authors Cited by (4) Tweetations (4) Metrics

Shintaro Tsuji   1, 2 , PhD ;   Andrew Wen   1 , MS ;   Naoki Takahashi   3 , MD, PhD ;   Hongjian Zhang   2 , MS ;   Katsuhiko Ogasawara   2 , MBA, PhD ;   Gouqian Jiang   1 , MD, PhD

1 Department of Health Sciences Research, Department of Radiology, Rochester, MN, United States

2 Graduate School of Health Sciences, Hokkaido University, Sapporo, Japan

3 Department of Radiology, Mayo Clinic, Rochester, MN, United States

Corresponding Author:

  • Gouqian Jiang, MD, PhD
  • Department of Health Sciences Research
  • Department of Radiology
  • 200 First Street, SW
  • Rochester, MN
  • United States
  • Phone: 1 507 266 1327
  • Fax: 1 507 284 1516
  • Email: Jiang.Guoqian@mayo.edu