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

Isabel Bilotta   1 , PhD ;   Scott Tonidandel   2 , PhD ;   Winston R Liaw   3 , MPH, MD ;   Eden King   4 , PhD ;   Diana N Carvajal   5 , MPH, MD ;   Ayana Taylor   6 , MD ;   Julie Thamby   7 , BA ;   Yang Xiang   8 , PhD ;   Cui Tao   9 , PhD ;   Michael Hansen   10 , MPH, MS, MD

1 Deutser, Houston, TX, United States

2 Belk College of Business, University of North Carolina at Charlotte, Charlotte, NC, United States

3 Department of Health Systems and Population Health Sciences, University of Houston Tilman J. Fertitta Family College of Medicine, Houston, TX, United States

4 Department of Psychological Sciences, Rice University, Houston, TX, United States

5 Department of Family & Community Medicine, University of Maryland, Baltimore, MD, United States

6 Department of Physical Medicine and Rehabilitation, University of California, Los Angeles, Los Angeles, CA, United States

7 Duke University School of Medicine, Durham, NC, United States

8 Peng Cheng Laboratory, Shenzhen, China

9 Department of Artificial Intelligence and Informatics, Mayo Clinic, Jacksonville, FL, United States

10 Depatment of Family and Community Medicine, Baylor College of Medicine, Houston, TX, United States

Corresponding Author:

  • Winston R Liaw, MPH, MD
  • Department of Health Systems and Population Health Sciences
  • University of Houston Tilman J. Fertitta Family College of Medicine
  • 5055 Medical Circle
  • Houston, TX, 77005
  • United States
  • Phone: 1 713 743 9862
  • Email: winstonrliaw@gmail.com