Machine Learning in Health Promotion and Behavioral Change: Scoping Review.

Journal: Journal of medical Internet research
PMID: 35653177

Abstract

BACKGROUND: Despite health behavioral change interventions targeting modifiable lifestyle factors underlying chronic diseases, dropouts and nonadherence of individuals have remained high. The rapid development of machine learning (ML) in recent years, alongside its ability to provide readily available personalized experience for users, holds much potential for success in health promotion and behavioral change interventions.

Authors

  • Yong Shian Goh
    Alice Lee Centre for Nursing Studies, National University of Singapore, Singapore, Singapore.
  • Jenna Qing Yun Ow Yong
    Alice Lee Centre for Nursing Studies, National University of Singapore, Singapore, Singapore.
  • Bernice Qian Hui Chee
    Faculty of Arts and Social Sciences, National University of Singapore, Singapore, Singapore.
  • Jonathan Han Loong Kuek
    Susan Wakil School of Nursing, Faculty of Medicine and Health, The University of Sydney, Sydney, Australia.
  • Cyrus Su Hui Ho
    Department of Psychological Medicine, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore.

Keywords

External Resources

Popular Topics
Recent Journals