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

Natural Language Processing (693) Machine Learning (1465) Electronic Health Records (1053) Ethics, Privacy, and Legal Issues (479)

Published on in Vol 10, No 6 (2022): June

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/38482, first published .
Prevalence of Sensitive Terms in Clinical Notes Using Natural Language Processing Techniques: Observational Study

Prevalence of Sensitive Terms in Clinical Notes Using Natural Language Processing Techniques: Observational Study

Prevalence of Sensitive Terms in Clinical Notes Using Natural Language Processing Techniques: Observational Study

Authors of this article:

Jennifer Lee1, 2 Author Orcid Image ;   Samuel Yang1, 2 Author Orcid Image ;   Cynthia Holland-Hall1, 2 Author Orcid Image ;   Emre Sezgin1 Author Orcid Image ;   Manjot Gill2 Author Orcid Image ;   Simon Linwood1 Author Orcid Image ;   Yungui Huang1 Author Orcid Image ;   Jeffrey Hoffman1, 2 Author Orcid Image
Article Authors Cited by (6) Tweetations (3) Metrics

Jennifer Lee   1, 2 * , MD ;   Samuel Yang   1, 2 * , MD ;   Cynthia Holland-Hall   1, 2 , MD ;   Emre Sezgin   1 , PhD ;   Manjot Gill   2 , MD ;   Simon Linwood   1 , MD, MSc ;   Yungui Huang   1 , PhD ;   Jeffrey Hoffman   1, 2 , MD

1 Nationwide Children's Hospital, Columbus, OH, United States

2 The Ohio State University College of Medicine, Columbus, OH, United States

*these authors contributed equally

Corresponding Author: