Published on in Vol 21, No 8 (2019): August

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/12610, first published .
Using Twitter to Understand the Human Bowel Disease Community: Exploratory Analysis of Key Topics

Using Twitter to Understand the Human Bowel Disease Community: Exploratory Analysis of Key Topics

Using Twitter to Understand the Human Bowel Disease Community: Exploratory Analysis of Key Topics

Journals

  1. Wang J, Deng H, Liu B, Hu A, Liang J, Fan L, Zheng X, Wang T, Lei J. Systematic Evaluation of Research Progress on Natural Language Processing in Medicine Over the Past 20 Years: Bibliometric Study on PubMed. Journal of Medical Internet Research 2020;22(1):e16816 View
  2. Du Y, Paiva K, Cebula A, Kim S, Lopez K, Li C, White C, Myneni S, Seshadri S, Wang J. Diabetes-Related Topics in an Online Forum for Caregivers of Individuals Living With Alzheimer Disease and Related Dementias: Qualitative Inquiry. Journal of Medical Internet Research 2020;22(7):e17851 View
  3. Pérez-Rodríguez G, Pérez-Pérez M, Fdez-Riverola F, Lourenço A. Mining the sociome for Health Informatics: Analysis of therapeutic lifestyle adherence of diabetic patients in Twitter. Future Generation Computer Systems 2020;110:214 View
  4. Schäfer F, Faviez C, Voillot P, Foulquié P, Najm M, Jeanne J, Fagherazzi G, Schück S, Le Nevé B. Mapping and Modeling of Discussions Related to Gastrointestinal Discomfort in French-Speaking Online Forums: Results of a 15-Year Retrospective Infodemiology Study. Journal of Medical Internet Research 2020;22(11):e17247 View
  5. Ruffer N, Knitza J, Krusche M. #Covid4Rheum: an analytical twitter study in the time of the COVID-19 pandemic. Rheumatology International 2020;40(12):2031 View
  6. Lui C, Wang Z, Wang N, Milinovich G, Ding H, Mengersen K, Bambrick H, Hu W. A call for better understanding of social media in surveillance and management of noncommunicable diseases. Health Research Policy and Systems 2021;19(1) View
  7. O'Neill P, Shandro B, Poullis A. Patient perspectives on social-media-delivered telemedicine for inflammatory bowel disease. Future Healthcare Journal 2020;7(3):241 View
  8. Xie R, Chu S, Chiu D, Wang Y. Exploring Public Response to COVID-19 on Weibo with LDA Topic Modeling and Sentiment Analysis. Data and Information Management 2021;5(1):86 View
  9. Lazarus J, Kakalou C, Palayew A, Karamanidou C, Maramis C, Natsiavas P, Picchio C, Villota‐Rivas M, Zelber‐Sagi S, Carrieri P, Valenti L. A Twitter discourse analysis of negative feelings and stigma related to NAFLD, NASH and obesity. Liver International 2021 View
  10. Ricard B, Hassanpour S. Deep Learning for Identification of Alcohol on Social Media: Exploratory Analysis of Alcohol-Related Outcomes from Reddit and Twitter (Preprint). Journal of Medical Internet Research 2021 View

Books/Policy Documents

  1. Leightley D, Sharp M, Williamson V, Fear N, Gribble R. Social Media and the Armed Forces. View