Published on in Vol 18, No 6 (2016): Jun

Web Conversations About Complementary and Alternative Medicines and Cancer: Content and Sentiment Analysis

Web Conversations About Complementary and Alternative Medicines and Cancer: Content and Sentiment Analysis

Web Conversations About Complementary and Alternative Medicines and Cancer: Content and Sentiment Analysis

Journals

  1. Scarton L, Wang L, Kilicoglu H, Jahries M, Del Fiol G. Expanding vocabularies for complementary and alternative medicine therapies. International Journal of Medical Informatics 2019;121:64 View
  2. Chen A, Flaherty M, Threats M. Attitudes, Provider and Treatment Selection of Complementary and Integrative Health among Individuals with Pain-Related Conditions. Complementary Therapies in Medicine 2020;51:102410 View
  3. Tangherlini T, Roychowdhury V, Glenn B, Crespi C, Bandari R, Wadia A, Falahi M, Ebrahimzadeh E, Bastani R. “Mommy Blogs” and the Vaccination Exemption Narrative: Results From A Machine-Learning Approach for Story Aggregation on Parenting Social Media Sites. JMIR Public Health and Surveillance 2016;2(2):e166 View
  4. Bianchini C, Truccolo I, Bidoli E, Mazzocut M. Avoiding misleading information: A study of complementary medicine online information for cancer patients. Library & Information Science Research 2019;41(1):67 View
  5. Li Y, Ye S, Zhou Y, Mao F, Guo H, Lin Y, Zhang X, Shen S, Shi N, Wang X, Sun Q. Web-Based Medical Information Searching by Chinese Patients With Breast Cancer and its Influence on Survival: Observational Study. Journal of Medical Internet Research 2020;22(4):e16768 View
  6. Hand R, Kenne D, Wolfram T, Abram J, Fleming M. Assessing the Viability of Social Media for Disseminating Evidence-Based Nutrition Practice Guideline Through Content Analysis of Twitter Messages and Health Professional Interviews: An Observational Study. Journal of Medical Internet Research 2016;18(11):e295 View
  7. Xu Z, Guo H. Using Text Mining to Compare Online Pro- and Anti-Vaccine Headlines: Word Usage, Sentiments, and Online Popularity. Communication Studies 2018;69(1):103 View
  8. Raghupathi V, Zhou Y, Raghupathi W. Exploring Big Data Analytic Approaches to Cancer Blog Text Analysis. International Journal of Healthcare Information Systems and Informatics 2019;14(4):1 View
  9. Huesch M, Chetlen A, Segel J, Schetter S. Frequencies of Private Mentions and Sharing of Mammography and Breast Cancer Terms on Facebook: A Pilot Study. Journal of Medical Internet Research 2017;19(6):e201 View
  10. Chen A, Taylor-Swanson L, Buie R, Park A, Conway M. Characterizing Websites That Provide Information About Complementary and Integrative Health: Systematic Search and Evaluation of Five Domains. Interactive Journal of Medical Research 2018;7(2):e14 View
  11. Zhang Y, Song D, Li X, Zhang P, Wang P, Rong L, Yu G, Wang B. A Quantum-Like multimodal network framework for modeling interaction dynamics in multiparty conversational sentiment analysis. Information Fusion 2020;62:14 View
  12. Ruzza M, Tiozzo B, Rizzoli V, Giaretta M, D'Este L, Ravarotto L. Food Risks on the Web: Analysis of the 2017 Fipronil Alert in the Italian Online Information Sources. Risk Analysis 2020;40(10):2071 View
  13. Sullivan E, Rice N, Kingston E, Kelly A, Reynolds J, Feighan J, Power D, Ryan A. A national survey of oncology survivors examining nutrition attitudes, problems and behaviours, and access to dietetic care throughout the cancer journey. Clinical Nutrition ESPEN 2021;41:331 View
  14. Tiozzo B, Ruzza M, Rizzoli V, D'Este L, Giaretta M, Ravarotto L. Biological, Chemical, and Nutritional Food Risks and Food Safety Issues From Italian Online Information Sources: Web Monitoring, Content Analysis, and Data Visualization. Journal of Medical Internet Research 2020;22(12):e23438 View
  15. Zhang Y, Tiwari P, Song D, Mao X, Wang P, Li X, Pandey H. Learning interaction dynamics with an interactive LSTM for conversational sentiment analysis. Neural Networks 2021;133:40 View
  16. Allen Searson N, Balneaves L, Thorne S, Gotay C, Truant T, Porcino A, Kelly M. The Effect of a Complementary Therapy Education Seminar on Support Persons of Individuals with Cancer. The Journal of Alternative and Complementary Medicine 2021;27(4):365 View
  17. Ng J, Abdelkader W, Lokker C. Tracking discussions of complementary, alternative, and integrative medicine in the context of the COVID-19 pandemic: a month-by-month sentiment analysis of Twitter data. BMC Complementary Medicine and Therapies 2022;22(1) View
  18. Lesenková E, Bohutínská K. ZDRAVOTNÍ GRAMOTNOST 2021: JAK MŮŽEME LÉPE ZÍSKAT INFORMACE O ZDRAVÍ?. Medsoft 2021;33(1):57 View
  19. Muecke R, Gosenheimer R, Schulz C, Heim G, Schmitz V, Harvey C, Zosel-DeIturri A, Nissen A, Hemberger U, Romeis V, Lochhas G, Metzmann U, Bussmann M, Paschold M. Counseling on Complementary Methods in the Treatment of Side Effects of Oncological Therapies: A Project of the Breast and Bowel Center Nahe at the Hospital Sankt Marienwoerth Bad Kreuznach. Integrative Cancer Therapies 2021;20:153473542110431 View
  20. Sun W, Luo A, Bian Z, Zhao B, Liu P, Wang K, Liu Y, Xie W, Wang F. Assessing the Quality of Online Health Information About Breast Cancer from Chinese Language Websites: Quality Assessment Survey. JMIR Cancer 2021;7(4):e25783 View
  21. Ng J, Verhoeff N, Steen J. What are the ways in which social media is used in the context of complementary and alternative medicine in the health and medical scholarly literature? a scoping review. BMC Complementary Medicine and Therapies 2023;23(1) View
  22. Lam C, Zhou K, Loong H, Chung V, Ngan C, Cheung Y. The Use of Traditional, Complementary, and Integrative Medicine in Cancer: Data-Mining Study of 1 Million Web-Based Posts From Health Forums and Social Media Platforms. Journal of Medical Internet Research 2023;25:e45408 View
  23. Zenone M, Snyder J, Bélisle-Pipon J, Caulfield T, van Schalkwyk M, Maani N. Advertising Alternative Cancer Treatments and Approaches on Meta Social Media Platforms (Preprint). JMIR Infodemiology 2022 View
  24. Molenaar A, Jenkins E, Brennan L, Lukose D, McCaffrey T. The use of sentiment and emotion analysis and data science to assess the language of nutrition-, food- and cooking-related content on social media: a systematic scoping review. Nutrition Research Reviews 2023:1 View
  25. Ng J, Raja M, Tahir U, Thakar H, Balkaran S. Assessing the quality of complementary, alternative, and integrative medicine website information for cancer: A cross-sectional survey and analysis. European Journal of Integrative Medicine 2023;64:102309 View
  26. Jenkins E, Lukose D, Brennan L, Molenaar A, McCaffrey T. Exploring Food Waste Conversations on Social Media: A Sentiment, Emotion, and Topic Analysis of Twitter Data. Sustainability 2023;15(18):13788 View

Books/Policy Documents

  1. Ninot G. Non-Pharmacological Interventions. View
  2. Raghupathi V, Zhou Y, Raghupathi W. Research Anthology on Big Data Analytics, Architectures, and Applications. View