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

Digital Health Reviews (1289) Artificial Intelligence (1371) Machine Learning (1465) Behavior Change (712)

Published on in Vol 24, No 6 (2022): June

This is a member publication of National University of Singapore

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/35831, first published .
Machine Learning in Health Promotion and Behavioral Change: Scoping Review

Machine Learning in Health Promotion and Behavioral Change: Scoping Review

Machine Learning in Health Promotion and Behavioral Change: Scoping Review

Authors of this article:

Yong Shian Goh1 Author Orcid Image ;   Jenna Qing Yun Ow Yong1 Author Orcid Image ;   Bernice Qian Hui Chee2 Author Orcid Image ;   Jonathan Han Loong Kuek3 Author Orcid Image ;   Cyrus Su Hui Ho4 Author Orcid Image
Article Authors Cited by (19) Tweetations (9) Metrics

Journals

  1. An R, Shen J, Xiao Y. Applications of Artificial Intelligence to Obesity Research: Scoping Review of Methodologies. Journal of Medical Internet Research 2022;24(12):e40589 View
  2. Vos A, de Bruijn G, Klein M, Lakerveld J, Boerman S, Smit E. SNapp, a Tailored Smartphone App Intervention to Promote Walking in Adults of Low Socioeconomic Position: Development and Qualitative Pilot Study. JMIR Formative Research 2023;7:e40851 View
  3. Wamala-Andersson S, Richardson M, Landerdahl Stridsberg S, Ryan J, Sukums F, Goh Y. Artificial Intelligence and Precision Health Through Lenses of Ethics and Social Determinants of Health: Protocol for a State-of-the-Art Literature Review. JMIR Research Protocols 2023;12:e40565 View
  4. Ong Q, Yang H, Kuek J, Goh Y. Implementation of peer‐support services in Asia: A scoping review. Journal of Psychiatric and Mental Health Nursing 2023;30(3):309 View
  5. Hurtado Hurtado H. Salud ocupacional: rol del personal de enfermería en la evaluación y prevención de riesgos. LATAM Revista Latinoamericana de Ciencias Sociales y Humanidades 2023;4(1) View
  6. Rodrigues P, Madeiro J, Marques J. Enhancing Health and Public Health through Machine Learning: Decision Support for Smarter Choices. Bioengineering 2023;10(7):792 View
  7. Huang A, Huang S. Technical Report: Machine-Learning Pipeline for Medical Research and Quality-Improvement Initiatives. Cureus 2023 View
  8. An R, Shen J, Wang J, Yang Y. A scoping review of methodologies for applying artificial intelligence to physical activity interventions. Journal of Sport and Health Science 2024;13(3):428 View
  9. Kanekar A. Role of Open AI (Artificial Intelligence)–Innovations in Health Behavior Change Interventions. Healthcare 2023;11(20):2710 View
  10. Zhong N, Wang H, Huang X, Li Z, Cao L, Huo F, Liu B, Bu L. Enhancing head and neck tumor management with artificial intelligence: Integration and perspectives. Seminars in Cancer Biology 2023;95:52 View
  11. Wessel L, Sundermeier J, Rothe H, Hanke S, Baiyere A, Rappert F, Gersch M. Designing as trading-off: a practice-based view on smart service systems. European Journal of Information Systems 2024:1 View
  12. TURGUTKAYA K, EVCİ KİRAZ E. Halk Sağlığı Alanında Makine Öğrenimi Analizinin Kullanımı. Journal of Intelligent Systems: Theory and Applications 2024;7(1):27 View
  13. Baird A, Xia Y. Precision Digital Health. Business & Information Systems Engineering 2024 View
  14. Mess F, Blaschke S, Schick T, Friedrich J, Sethi Y. Precision prevention in worksite health–A scoping review on research trends and gaps. PLOS ONE 2024;19(6):e0304951 View
  15. Bendotti H, Lawler S, Ireland D, Gartner C, Marshall H. Co-Designing a Smoking Cessation Chatbot: Focus Group Study of End Users and Smoking Cessation Professionals. JMIR Human Factors 2024;11:e56505 View
  16. Vandelanotte C, Hodgetts D, Peris D, Karki A, Maher C, Imam T, Rashid M, To Q, Trost S. Perceptions and expectations of an artificially intelligent physical activity digital assistant — A focus group study. Applied Psychology: Health and Well-Being 2024;16(4):2362 View
  17. Smith A, Arena R, Bacon S, Faghy M, Grazzi G, Raisi A, Vermeesch A, Ong'wen M, Popovic D, Pronk N. Recommendations on the use of artificial intelligence in health promotion. Progress in Cardiovascular Diseases 2024 View
  18. Brons A, Wang S, Visser B, Kröse B, Bakkes S, Veltkamp R. Machine Learning Methods to Personalize Persuasive Strategies in mHealth Interventions That Promote Physical Activity: Scoping Review and Categorization Overview. Journal of Medical Internet Research 2024;26:e47774 View