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

mHealth for Wellness, Behavior Change and Prevention (3091) Mobile Health (mhealth) (3147) Natural Language Processing (795) Fitness Trackers and Smart Pedometers/Accelerometers (610)

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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Alec Pettifer Alec Pettifer @alecpett

Applying Natural Language Processing to Understand Motivational Profiles for Maintaining Physical Activity After a… https://t.co/A9D8oaQse1

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How #MachineLearning #AI can be used to help #physicalactivity researchers understand what motivates people to move… https://t.co/Vr68L8xABa

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RT @GAMONetwork: How #MachineLearning #AI can be used to help #physicalactivity researchers understand what motivates people to move more a…

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Kristin Schneider Kristin Schneider @DrKrisSchneider

RT @GAMONetwork: How #MachineLearning #AI can be used to help #physicalactivity researchers understand what motivates people to move more a…

11:45 AM · Jun 27, 2018

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