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

mHealth for Wellness, Behavior Change and Prevention (2350) Fitness Trackers and Smart Pedometers/Accelerometers (502) Machine Learning (1059)

Published on in Vol 6 , No 1 (2018) :January

Evaluating Machine Learning–Based Automated Personalized Daily Step Goals Delivered Through a Mobile Phone App: Randomized Controlled Trial

Evaluating Machine Learning–Based Automated Personalized Daily Step Goals Delivered Through a Mobile Phone App: Randomized Controlled Trial

Evaluating Machine Learning–Based Automated Personalized Daily Step Goals Delivered Through a Mobile Phone App: Randomized Controlled Trial

Authors of this article:

Mo Zhou 1 Author Orcid Image ;   Yoshimi Fukuoka 2, 3 Author Orcid Image ;   Yonatan Mintz 1 Author Orcid Image ;   Ken Goldberg 1, 4 Author Orcid Image ;   Philip Kaminsky 1 Author Orcid Image ;   Elena Flowers 2, 5 Author Orcid Image ;   Anil Aswani 1 Author Orcid Image
Article Authors Cited by (50) Tweetations (19) Metrics

Mo Zhou   1 , MS ;   Yoshimi Fukuoka   2, 3 , RN, PhD, FAAN ;   Yonatan Mintz   1 , MS ;   Ken Goldberg   1, 4 , PhD ;   Philip Kaminsky   1 , PhD ;   Elena Flowers   2, 5 , RN, PhD ;   Anil Aswani   1 , PhD

1 Department of Industrial Engineering and Operations Research, University of California, Berkeley, CA, US

2 Department of Physiological Nursing, School of Nursing, University of California, San Francisco, CA, US

3 Institute for Health & Aging, School of Nursing, University of California, San Francisco, CA, US

4 Department of Electrical Engineering and Computer Sciences, University of California, Berkeley, CA, US

5 Institute for Human Genetics, University of California, San Francisco, CA, US

Corresponding Author:

  • Anil Aswani, PhD
  • Department of Industrial Engineering and Operations Research
  • University of California
  • 4119 Etcheverry Hall
  • Berkeley, CA, 94720
  • US
  • Phone: 1 510-664-9114
  • Email: aaswani@berkeley.edu