This paper is in the following e-collection/theme issue:

mHealth for Wellness, Behavior Change and Prevention (2871) Mobile Health (mhealth) (2939) Natural Language Processing (692) Fitness Trackers and Smart Pedometers/Accelerometers (561)

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

Authors of this article:

Yoshimi Fukuoka1 Author Orcid Image ;   Teri G Lindgren2 Author Orcid Image ;   Yonatan Dov Mintz3 Author Orcid Image ;   Julie Hooper4 Author Orcid Image ;   Anil Aswani3 Author Orcid Image
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