Published on in Vol 20, No 8 (2018): August

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/10779, first published .
Improving Consumer Understanding of Medical Text: Development and Validation of a New SubSimplify Algorithm to Automatically Generate Term Explanations in English and Spanish

Improving Consumer Understanding of Medical Text: Development and Validation of a New SubSimplify Algorithm to Automatically Generate Term Explanations in English and Spanish

Improving Consumer Understanding of Medical Text: Development and Validation of a New SubSimplify Algorithm to Automatically Generate Term Explanations in English and Spanish

Nicholas Kloehn   1 , MA, PhD ;   Gondy Leroy   1 , MS, PhD ;   David Kauchak   2 , PhD ;   Yang Gu   1 , BA ;   Sonia Colina   3 , PhD ;   Nicole P Yuan   4 , MA, MPH, PhD ;   Debra Revere   5 , MA, MLIS

1 Department of Linguistics, University of Arizona, Tucson, AZ, United States

2 Computer Science Department, Pomona College, Claremont, CA, United States

3 Department of Spanish and Portuguese, University of Arizona, Tucson, AZ, United States

4 Health Promotion Sciences Division, Mel and Enid Zuckerman College of Public Health, University of Arizona, Tucson, AZ, United States

5 Department of Health Services, School of Public Health, University of Washington, Seattle, WA, United States

Corresponding Author:

  • Nicholas Kloehn, MA, PhD
  • Department of Linguistics
  • University of Arizona
  • Communications Building, Room 109
  • P.O. Box 210025
  • Tucson, AZ, 85721
  • United States
  • Phone: 1 904 314 4654
  • Fax: 1 520 621 8105
  • Email: nick.kloehn@gmail.com