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

Secondary Use of Clinical Data for Research and Surveillance (402) Systemic Racism and Racial Bias in Health Care and Society (93) Personal Health Records, Patient-Accessible Electronic Health Records, Patient Portals (620)

Published on in Vol 12 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/50428, first published .
Examining Linguistic Differences in Electronic Health Records for Diverse Patients With Diabetes: Natural Language Processing Analysis

Examining Linguistic Differences in Electronic Health Records for Diverse Patients With Diabetes: Natural Language Processing Analysis

Examining Linguistic Differences in Electronic Health Records for Diverse Patients With Diabetes: Natural Language Processing Analysis

Authors of this article:

Isabel Bilotta1 Author Orcid Image ;   Scott Tonidandel2 Author Orcid Image ;   Winston R Liaw3 Author Orcid Image ;   Eden King4 Author Orcid Image ;   Diana N Carvajal5 Author Orcid Image ;   Ayana Taylor6 Author Orcid Image ;   Julie Thamby7 Author Orcid Image ;   Yang Xiang8 Author Orcid Image ;   Cui Tao9 Author Orcid Image ;   Michael Hansen10 Author Orcid Image
Article Authors Cited by (2) Tweetations (2) Metrics

Journals

  1. Barcelona V, Scroggins J, Scharp D, Harkins S, Goffman D, Aubey J, Topaz M. Secondary Qualitative Analysis of Stigmatizing and Nonstigmatizing Language Used in Hospital Birth Settings. Journal of Obstetric, Gynecologic & Neonatal Nursing 2025;54(1):112 View
  2. Scroggins J, Hulchafo I, Harkins S, Scharp D, Moen H, Davoudi A, Cato K, Tadiello M, Topaz M, Barcelona V. Identifying stigmatizing and positive/preferred language in obstetric clinical notes using natural language processing. Journal of the American Medical Informatics Association 2025;32(2):308 View