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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 .
Hand holding smartphone displaying text messages about health benefits of walking and eating apples

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