Published on in Vol 6, No 6 (2018): June

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/10042, first published .
Applying Natural Language Processing to Understand Motivational Profiles for Maintaining Physical Activity After a Mobile App and Accelerometer-Based Intervention: The mPED Randomized Controlled Trial

Applying Natural Language Processing to Understand Motivational Profiles for Maintaining Physical Activity After a Mobile App and Accelerometer-Based Intervention: The mPED Randomized Controlled Trial

Applying Natural Language Processing to Understand Motivational Profiles for Maintaining Physical Activity After a Mobile App and Accelerometer-Based Intervention: The mPED Randomized Controlled Trial

Yoshimi Fukuoka   1 , PhD, RN, FAAN ;   Teri G Lindgren   2 , PhD, RN, FAAN ;   Yonatan Dov Mintz   3 , PhD ;   Julie Hooper   4 , BA ;   Anil Aswani   3 , PhD

1 Department of Physiological Nursing/Institute for Health & Aging, School of Nursing, University of California, San Francisco, San Francisco, CA, United States

2 School of Nursing, Rutgers University, Newark, NJ, United States

3 Department of Industrial Engineering and Operations Research, University of California, Berkeley, Berkeley, CA, United States

4 Institute for Health & Aging, School of Nursing, University of California, San Francisco, San Francisco, CA, United States

Corresponding Author:

  • Yoshimi Fukuoka, PhD, RN, FAAN
  • Department of Physiological Nursing/Institute for Health & Aging
  • School of Nursing
  • University of California, San Francisco
  • 2 Koret Way, N631
  • San Francisco, CA, 94143
  • United States
  • Phone: 1 (415) 476-8419
  • Fax: 1 (415) 476-8800
  • Email: Yoshimi.Fukuoka@ucsf.edu