Published on in Vol 5, No 1 (2019): Jan-Jun

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/9887, first published .
Analyzing Empowerment Processes Among Cancer Patients in an Online Community: A Text Mining Approach

Analyzing Empowerment Processes Among Cancer Patients in an Online Community: A Text Mining Approach

Analyzing Empowerment Processes Among Cancer Patients in an Online Community: A Text Mining Approach

Journals

  1. Zhu P, Shen J, Xu M. Patients’ Willingness to Share Information in Online Patient Communities: Questionnaire Study. Journal of Medical Internet Research 2020;22(4):e16546 View
  2. Sanders R, Araujo T, Vliegenthart R, van Eenbergen M, van Weert J, Linn A. Patients’ Convergence of Mass and Interpersonal Communication on an Online Forum: Hybrid Methods Analysis. Journal of Medical Internet Research 2020;22(10):e18303 View
  3. Allison K, Patterson P, Guilbert D, Noke M, Husson O. Logging On, Reaching Out, and Getting By. Proceedings of the ACM on Human-Computer Interaction 2021;5(CSCW1):1 View
  4. Kalf R, Delnoij D, Ryll B, Bouvy M, Goettsch W. Information Patients With Melanoma Spontaneously Report About Health-Related Quality of Life on Web-Based Forums: Case Study. Journal of Medical Internet Research 2021;23(12):e27497 View
  5. Kah-Pei Liaw M, Ting S, Chuah K, Jerome C. Affective and Cognitive Processes in Cancer Narratives. MANUSYA: Journal of Humanities 2022;25(1):1 View
  6. van Eenbergen M, Vromans R, Tick L, Vreugdenhil G, Krahmer E, Mols F, van de Poll-Franse L. Comparing Survivors of Cancer in Population-Based Samples With Those in Online Cancer Communities: Cross-sectional Questionnaire Study. JMIR Cancer 2022;8(1):e19379 View
  7. Bizzotto N, Morlino S, Schulz P. Misinformation in Italian Online Mental Health Communities During the COVID-19 Pandemic: Protocol for a Content Analysis Study. JMIR Research Protocols 2022;11(5):e35347 View
  8. Yoon J, Son H. Need differences by treatment phases between patients with colorectal cancer and their caregivers: A text mining analysis. Asia-Pacific Journal of Oncology Nursing 2022;9(5):100061 View
  9. Decroisette C, Corre R, Greenwood W, Chartier D, Amsellem N, Lefebvre-Nare F, Guéroult-Accolas L, Schott R. Analyse sémantique de conversations sur le web portant sur le cancer du poumon : étude Web Ethnography-Lung. Bulletin du Cancer 2022;109(7-8):805 View
  10. Zhu J, Li Z, Zhang X, Zhang Z, Hu B. Public Attitudes Toward Anxiety Disorder on Sina Weibo: Content Analysis. Journal of Medical Internet Research 2023;25:e45777 View
  11. Pereira L, Mallela J, Valle C, Salsman J, Quinn G. Influence of making a video cancer narrative in adolescents and young adults on factors impacting self-efficacy. Health & New Media Research 2023;7(1):37 View
  12. Kordoni A, Gavidia-Calderon C, Levine M, Bennaceur A, Nuseibeh B. “Are we in this together?”: embedding social identity detection in drones improves emergency coordination. Frontiers in Psychology 2023;14 View
  13. Franzoi M, Bayle A, Vaz-Luis I. Changing cancer representations toward comprehensive portraits to empower patients in their care journey. Annals of Oncology 2023;34(12):1082 View
  14. Shah A, Lee K, Hidayat A, Falchook A, Muhammad W. A text analytics approach for mining public discussions in online cancer forum: Analysis of multi-intent lung cancer treatment dataset. International Journal of Medical Informatics 2024;184:105375 View
  15. Yin Q, Sadowski S. A tale of two platforms: A comparative analysis of language use in consumer complaints on Reddit and Spotify Community. Journal of Consumer Behaviour 2024;23(4):2071 View
  16. Li A. Predicting negative attitudes towards suicide in social media texts: prediction model development and validation study. Frontiers in Public Health 2024;12 View
  17. AbouWarda H, Dolata M, Schwabe G. How Does an Online Mental Health Community on Twitter Empower Diverse Population Levels and Groups? A Qualitative Analysis of #BipolarClub. Journal of Medical Internet Research 2024;26:e55965 View

Books/Policy Documents

  1. Bagheri A, Giachanou A, Mosteiro P, Verberne S. Clinical Applications of Artificial Intelligence in Real-World Data. View