Published on in Vol 19, No 6 (2017): June

Using Social Media to Characterize Public Sentiment Toward Medical Interventions Commonly Used for Cancer Screening: An Observational Study

Using Social Media to Characterize Public Sentiment Toward Medical Interventions Commonly Used for Cancer Screening: An Observational Study

Using Social Media to Characterize Public Sentiment Toward Medical Interventions Commonly Used for Cancer Screening: An Observational Study

Journals

  1. Gajda M, Kowalska M. Decreasing the Impact of Anxiety on Cancer Prevention through Online Intervention. International Journal of Environmental Research and Public Health 2020;17(3):985 View
  2. Cook N, Mullins A, Gautam R, Medi S, Prince C, Tyagi N, Kommineni J. Evaluating Patient Experiences in Dry Eye Disease Through Social Media Listening Research. Ophthalmology and Therapy 2019;8(3):407 View
  3. Zunic A, Corcoran P, Spasic I. Sentiment Analysis in Health and Well-Being: Systematic Review. JMIR Medical Informatics 2020;8(1):e16023 View
  4. Lerrigo R, Coffey J, Kravitz J, Jadhav P, Nikfarjam A, Shah N, Jurafsky D, Sinha S. The Emotional Toll of Inflammatory Bowel Disease: Using Machine Learning to Analyze Online Community Forum Discourse. Crohn's & Colitis 360 2019;1(2) View
  5. Rummo P, Cassidy O, Wells I, Coffino J, Bragg M. Examining the Relationship between Youth-Targeted Food Marketing Expenditures and the Demographics of Social Media Followers. International Journal of Environmental Research and Public Health 2020;17(5):1631 View
  6. Ehrlich P, Costello B, Randall A. Preventing distracted driving: A program from initiation through to evaluation. The American Journal of Surgery 2020;219(6):1045 View
  7. Huang M, ElTayeby O, Zolnoori M, Yao L. Public Opinions Toward Diseases: Infodemiological Study on News Media Data. Journal of Medical Internet Research 2018;20(5):e10047 View
  8. Huang R, Limsui D, Triadafilopoulos G. Video-based performance assessment in endoscopy: Moving beyond “see one, do one, teach one”?. Gastrointestinal Endoscopy 2018;87(3):776 View
  9. Hu G, Han X, Zhou H, Liu Y. Public Perception on Healthcare Services: Evidence from Social Media Platforms in China. International Journal of Environmental Research and Public Health 2019;16(7):1273 View
  10. Park S, Park H, Lee J. Understanding the Public’s Emotions about Cancer: Analysis of Social Media Data. International Journal of Environmental Research and Public Health 2020;17(19):7160 View
  11. Lim K, Ng C, Decruz G, Lim T, Devi K, Tan K, Chong C. Barriers and facilitators towards colonoscopy: a qualitative systematic review. European Journal of Cancer Prevention 2021;30(3):232 View
  12. Lee H, Lee M, Lee H, Cruz R. Mining service quality feedback from social media: A computational analytics method. Government Information Quarterly 2021;38(2):101571 View
  13. Pavan Kumar C, Dhinesh Babu L. Fuzzy based feature engineering architecture for sentiment analysis of medical discussion over online social networks. Journal of Intelligent & Fuzzy Systems 2021:1 View
  14. Plackett R, Kaushal A, Kassianos A, Cross A, Lewins D, Sheringham J, Waller J, von Wagner C. Use of Social Media to Promote Cancer Screening and Early Diagnosis: Scoping Review. Journal of Medical Internet Research 2020;22(11):e21582 View
  15. Qian Y, Zhang Y, He X, Xu S, Yang X, Mo C, Lu X, Qiu M, Xiao Q. Findings in Chinese Patients With Parkinson's Disease: A Content Analysis From the SML Study. Frontiers in Psychiatry 2021;12 View
  16. Alvarez-Mon M, Fernandez-Lazaro C, Llavero-Valero M, Alvarez-Mon M, Mora S, Martinez-Gonzalez M, Bes-Rastrollo M. Mediterranean diet social network impact along 11 years in the major US media outlets: Thematic and Quantitative Analysis using Twitter. (Preprint). JMIR Public Health and Surveillance 2020 View

Books/Policy Documents

  1. Wang K, He C, Wang L, Wu J. Knowledge and Systems Sciences. View