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

Web-based and Mobile Health Interventions (3128) Electronic/Mobile Data Capture, Internet-based Survey & Research Methodology (792) Information Retrieval (271)

Published on in Vol 16, No 12 (2014): December

Automated Indexing of Internet Stories for Health Behavior Change: Weight Loss Attitude Pilot Study

Automated Indexing of Internet Stories for Health Behavior Change: Weight Loss Attitude Pilot Study

Automated Indexing of Internet Stories for Health Behavior Change: Weight Loss Attitude Pilot Study

Authors of this article:

Ramesh Manuvinakurike1 Author Orcid Image ;   Wayne F Velicer2 Author Orcid Image ;   Timothy W Bickmore1 Author Orcid Image
Article Authors Cited by (26) Tweetations (25) Metrics

Journals

  1. Créquit P, Mansouri G, Benchoufi M, Vivot A, Ravaud P. Mapping of Crowdsourcing in Health: Systematic Review. Journal of Medical Internet Research 2018;20(5):e187 View
  2. Chattopadhyay D, Ma T, Sharifi H, Martyn-Nemeth P. Computer-Controlled Virtual Humans in Patient-Facing Systems: Systematic Review and Meta-Analysis. Journal of Medical Internet Research 2020;22(7):e18839 View
  3. Triantafyllidis A, Tsanas A. Applications of Machine Learning in Real-Life Digital Health Interventions: Review of the Literature. Journal of Medical Internet Research 2019;21(4):e12286 View
  4. Lee Y, Boden-Albala B, Jia H, Wilcox A, Bakken S. The Association Between Online Health Information–Seeking Behaviors and Health Behaviors Among Hispanics in New York City: A Community-Based Cross-Sectional Study. Journal of Medical Internet Research 2015;17(11):e261 View
  5. Waterman A, Wood E, Ranasinghe O, Faye Lipsey A, Anderson C, Balliet W, Holland-Carter L, Maurer S, Aurora Posadas Salas M. A Digital Library for Increasing Awareness About Living Donor Kidney Transplants: Formative Study. JMIR Formative Research 2020;4(7):e17441 View
  6. Zalake M, Tavassoli F, Duke K, George T, Modave F, Neil J, Krieger J, Lok B. Internet-based tailored virtual human health intervention to promote colorectal cancer screening: design guidelines from two user studies. Journal on Multimodal User Interfaces 2021;15(2):147 View
  7. Fukumura Y, Gray J, Lucas G, Becerik-Gerber B, Roll S. Worker Perspectives on Incorporating Artificial Intelligence into Office Workspaces: Implications for the Future of Office Work. International Journal of Environmental Research and Public Health 2021;18(4):1690 View
  8. Slade M, Rennick-Egglestone S, Llewellyn-Beardsley J, Yeo C, Roe J, Bailey S, Smith R, Booth S, Harrison J, Bhogal A, Penas Morán P, Hui A, Quadri D, Robinson C, Smuk M, Farkas M, Davidson L, van der Krieke L, Slade E, Bond C, Nicholson J, Grundy A, Charles A, Hare-Duke L, Pollock K, Ng F. Recorded Mental Health Recovery Narratives as a Resource for People Affected by Mental Health Problems: Development of the Narrative Experiences Online (NEON) Intervention. JMIR Formative Research 2021;5(5):e24417 View
  9. Mhasawade V, Zhao Y, Chunara R. Machine learning and algorithmic fairness in public and population health. Nature Machine Intelligence 2021;3(8):659 View
  10. Skeen S, Jones S, Cruse C, Horvath K. Integrating Natural Language Processing and Interpretive Thematic Analyses to Gain Human-Centered Design Insights on HIV Mobile Health: Proof-of-Concept Analysis. JMIR Human Factors 2022;9(3):e37350 View
  11. Lisowska A, Wilk S, Peleg M. SATO (IDEAS expAnded wiTh BCIO): Workflow for designers of patient-centered mobile health behaviour change intervention applications. Journal of Biomedical Informatics 2023;138:104276 View
  12. Lekkas D, Price G, McFadden J, Jacobson N. The Application of Machine Learning to Online Mindfulness Intervention Data: a Primer and Empirical Example in Compliance Assessment. Mindfulness 2021;12(10):2519 View
  13. Li Y, Liang S, Zhu B, Liu X, Li J, Chen D, Qin J, Bressington D. Feasibility and effectiveness of artificial intelligence-driven conversational agents in healthcare interventions: A systematic review of randomized controlled trials. International Journal of Nursing Studies 2023;143:104494 View
  14. Langener S, Kolkmeier J, VanDerNagel J, Klaassen R, van Manen J, Heylen D. Development of an Alcohol Refusal Training in Immersive Virtual Reality for Patients With Mild to Borderline Intellectual Disability and Alcohol Use Disorder: Cocreation With Experts in Addiction Care. JMIR Formative Research 2023;7:e42523 View
  15. Noh E, Won J, Jo S, Hahm D, Lee H. Conversational Agents for Body Weight Management: Systematic Review. Journal of Medical Internet Research 2023;25:e42238 View
  16. Brankovic A, Hendrie G, Baird D, Khanna S. Predicting Disengagement to Better Support Outcomes in a Web-Based Weight Loss Program Using Machine Learning Models: Cross-Sectional Study. Journal of Medical Internet Research 2023;25:e43633 View
  17. Ali Y, Rennick-Egglestone S, Llewellyn-Beardsley J, Ng F, Yeo C, Franklin D, Perez Vallejos E, Ben-Zeev D, Kotera Y, Slade M. Perception and appropriation of a web-based recovery narratives intervention: qualitative interview study. Frontiers in Digital Health 2024;6 View

Books/Policy Documents

  1. Gilani S, Sheetz K, Lucas G, Traum D. Intelligent Virtual Agents. View
  2. Alfaris N, Minnick A, Hong P, Wadden T. Lifestyle Medicine. View
  3. Sulaiman M, Håkansson A, Karlsen R. ICT for Health, Accessibility and Wellbeing. View