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

Ethics, Privacy, and Legal Issues (494) Innovations and Technology for Physical Activity Education (756) Innovations and Technology for Healthy Eating Education (425) mHealth for Wellness, Behavior Change and Prevention (2922) Ubiquitous Health (uHealth) (125)

Published on in Vol 23, No 5 (2021): May

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/24236, first published .
Understanding Barriers to Novel Data Linkages: Topic Modeling of the Results of the LifeInfo Survey

Understanding Barriers to Novel Data Linkages: Topic Modeling of the Results of the LifeInfo Survey

Understanding Barriers to Novel Data Linkages: Topic Modeling of the Results of the LifeInfo Survey

Authors of this article:

Holly Clarke1 Author Orcid Image ;   Stephen Clark1, 2 Author Orcid Image ;   Mark Birkin1, 2 Author Orcid Image ;   Heather Iles-Smith3, 4 Author Orcid Image ;   Adam Glaser1, 3, 5 Author Orcid Image ;   Michelle A Morris1, 5 Author Orcid Image
Article Authors Cited by (13) Tweetations (10) Metrics

Holly Clarke   1 , MA ;   Stephen Clark   1, 2 , PhD ;   Mark Birkin   1, 2 , PhD ;   Heather Iles-Smith   3, 4 , PhD ;   Adam Glaser   1, 3, 5 , DM ;   Michelle A Morris   1, 5 , PhD

1 Leeds Institute for Data Analytics, University of Leeds, Leeds, United Kingdom

2 School of Geography, University of Leeds, Leeds, United Kingdom

3 Leeds Teaching Hospitals NHS Trust, Leeds, United Kingdom

4 School of Health and Society, University of Salford, Salford, United Kingdom

5 Leeds Institute of Medical Research, School of Medicine, University of Leeds, Leeds, United Kingdom

Corresponding Author:

  • Michelle A Morris, PhD
  • Leeds Institute for Data Analytics
  • University of Leeds
  • Level 11, Worsley Building
  • Claredon Way
  • Leeds, LS2 9NL
  • United Kingdom
  • Phone: 44 0113 343 9680
  • Email: M.Morris@leeds.ac.uk