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