Published on in Vol 9, No 11 (2021): November

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/27779, first published .
Text Message Analysis Using Machine Learning to Assess Predictors of Engagement With Mobile Health Chronic Disease Prevention Programs: Content Analysis

Text Message Analysis Using Machine Learning to Assess Predictors of Engagement With Mobile Health Chronic Disease Prevention Programs: Content Analysis

Text Message Analysis Using Machine Learning to Assess Predictors of Engagement With Mobile Health Chronic Disease Prevention Programs: Content Analysis

Harry Klimis   1, 2 , MBBS, BMedSci, GradCertClinEpi, PhD ;   Joel Nothman   3 , BSc, BA, PhD ;   Di Lu   3 , BEng ;   Chao Sun   3 , BEng, BSc, MEng, PhD ;   N Wah Cheung   1, 4, 5 , MBBS, PhD ;   Julie Redfern   1 , BAppSc, PhD ;   Aravinda Thiagalingam   1, 2 , MB ChB, PhD, FRACP, FCSANZ ;   Clara K Chow   1, 2 , MBBS, PhD

1 Faculty of Medicine and Health, Westmead Applied Research Centre, The University of Sydney, Westmead, Australia

2 Department of Cardiology, Westmead Hospital, Westmead, Australia

3 Sydney Informatics Hub, The University of Sydney, Camperdown, Australia

4 Department of Endocrinology, Westmead Hospital, Westmead, Australia

5 Western Sydney Integrated Care Program, Sydney, Australia

Corresponding Author:

  • Harry Klimis, MBBS, BMedSci, GradCertClinEpi, PhD
  • Faculty of Medicine and Health, Westmead Applied Research Centre
  • The University of Sydney
  • Westmead
  • Australia
  • Phone: 61 88903125
  • Email: harry.klimis@sydney.edu.au