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

UConn CHASM 6th Annual Conference 2022: "Telehealth and Remote Care in a Post-Pandemic World" (54)

Published on in Vol 9 (2023)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/39574, first published .
Predicting Clinically Significant Weight Loss in a Multimodal Commercial Digital Weight Management Program: Machine Learning Approach

Predicting Clinically Significant Weight Loss in a Multimodal Commercial Digital Weight Management Program: Machine Learning Approach

Predicting Clinically Significant Weight Loss in a Multimodal Commercial Digital Weight Management Program: Machine Learning Approach

Authors of this article:

Richard Bannor1 Author Orcid Image ;   Sherry Pagoto1 ;   Michelle I Cardel2 Author Orcid Image ;   Alexandra Lee2 ;   Gary D Foster2 ;   Ran Xu1
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Richard Bannor   1 , MPH ;   Sherry Pagoto   1 , PhD ;   Michelle I Cardel   2 , PhD ;   Alexandra Lee   2 ;   Gary D Foster   2 , PhD ;   Ran Xu   1 , PhD

1 Department of Allied Health Sciences, University of Connecticut, Storrs, CT, United States

2 WW International, Inc, New York, NY, United States

Corresponding Author:

  • Richard Bannor, MPH
  • Department of Allied Health Sciences
  • University of Connecticut
  • Koons Hall
  • 358 Mansfield Rd, Unit 1101
  • Storrs, CT, 06269-1101
  • United States
  • Phone: 1 8606349594
  • Email: richard.bannor@uconn.edu