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, US

2 Computer Science Department , Pomona College, Claremont, CA, US

3 Department of Spanish and Portuguese , University of Arizona, Tucson, AZ, US

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

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

Corresponding Author:

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