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
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New JMIR MedInform: Examining Linguistic Differences in #ehrs for Diverse #patients With Diabetes: Natural Language Processing Analysis https://t.co/BBzjoQfb7T https://t.co/4HEehxtrwA

4:03 PM · May 23, 2024

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RT @jmirpub: New JMIR MedInform: Examining Linguistic Differences in #ehrs for Diverse #patients With Diabetes: Natural Language Processing…

4:03 PM · May 23, 2024

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