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

Infodemiology and Infoveillance (1274)

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

Authors of this article:

Martín Pérez-Pérez1, 2, 3 Author Orcid Image ;   Gael Pérez-Rodríguez1, 2, 3 Author Orcid Image ;   Florentino Fdez-Riverola1, 2, 3 Author Orcid Image ;   Anália Lourenço1, 2, 3, 4 Author Orcid Image
Article Authors Cited by (34) Tweetations (19) Metrics

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. A Twitter discourse analysis of negative feelings and stigma related to NAFLD, NASH and obesity. Liver International 2021;41(10):2295 View
  10. Ricard B, Hassanpour S. Deep Learning for Identification of Alcohol-Related Content on Social Media (Reddit and Twitter): Exploratory Analysis of Alcohol-Related Outcomes. Journal of Medical Internet Research 2021;23(9):e27314 View
  11. Pérez-Pérez M, Ferreira T, Lourenço A, Igrejas G, Fdez-Riverola F. Boosting biomedical document classification through the use of domain entity recognizers and semantic ontologies for document representation: The case of gluten bibliome. Neurocomputing 2022;484:223 View
  12. Li L, Grando A, Sarker A. A Data-Driven Iterative Approach for Semi-automatically Assessing the Correctness of Medication Value Sets: A Proof of Concept Based on Opioids. Methods of Information in Medicine 2021;60(S 02):e111 View
  13. Pérez-Rodríguez G, Baptista J, Igrejas G, Fdez-Riverola F, Lourenço A, Zia K. Use Social Media Knowledge for Exploring the Portuguese Wine Industry: Following Talks and Perceptions?. Scientific Programming 2022;2022:1 View
  14. López-Rodríguez G, Castillo-Eslava F. A Comparative Study of Military Communication on Instagram: A Research Note. Armed Forces & Society 2024;50(3):810 View
  15. He L, Yin T, Zheng K. They May Not Work! An evaluation of eleven sentiment analysis tools on seven social media datasets. Journal of Biomedical Informatics 2022;132:104142 View
  16. Malloy C, Rawl S, Miller W. Inflammatory Bowel Disease Self-Management. Gastroenterology Nursing 2022;45(4):254 View
  17. Hallinan C, Khademi Habibabadi S, Conway M, Bonomo Y, Grundy Q. Social media discourse and internet search queries on cannabis as a medicine: A systematic scoping review. PLOS ONE 2023;18(1):e0269143 View
  18. Khademi Habibabadi S, Hallinan C, Bonomo Y, Conway M. Consumer-Generated Discourse on Cannabis as a Medicine: Scoping Review of Techniques. Journal of Medical Internet Research 2022;24(11):e35974 View
  19. KÜÇÜK S, YIBAR A. Postmenopozal Kadınların Probiyotikler Hakkındaki Bilgi Düzeylerinin ve Tüketim Durumlarının Belirlenmesi. Journal of Research in Veterinary Medicine 2021;40(2):125 View
  20. Pérez-Pérez M, Ferreira T, Igrejas G, Fdez-Riverola F. A deep learning relation extraction approach to support a biomedical semi-automatic curation task: The case of the gluten bibliome. Expert Systems with Applications 2022;195:116616 View
  21. Chowdhry A, Kapoor P. Twitter for microblogging in oral health care, research, and academics: Road map and future directions. Journal of Oral and Maxillofacial Pathology 2021;25(3):511 View
  22. Khademi S, Hallinan C, Conway M, Bonomo Y. Using Social Media Data to Investigate Public Perceptions of Cannabis as a Medicine: Narrative Review. Journal of Medical Internet Research 2023;25:e36667 View
  23. Stemmer M, Parmet Y, Ravid G. Identifying Patients With Inflammatory Bowel Disease on Twitter and Learning From Their Personal Experience: Retrospective Cohort Study. Journal of Medical Internet Research 2022;24(8):e29186 View
  24. Abbasi-Perez A, Alvarez-Mon M, Donat-Vargas C, Ortega M, Monserrat J, Perez-Gomez A, Sanz I, Alvarez-Mon M. Analysis of Tweets Containing Information Related to Rheumatological Diseases on Twitter. International Journal of Environmental Research and Public Health 2021;18(17):9094 View
  25. Cheng Q, Lin Y. Multilevel Classification of Users’ Needs in Chinese Online Medical and Health Communities: Model Development and Evaluation Based on Graph Convolutional Network. JMIR Formative Research 2023;7:e42297 View
  26. Stemmer M, Parmet Y, Ravid G. What are IBD Patients Talking About on Twitter? Using Natural Language Understanding to Investigate Patients’ Tweets. SN Computer Science 2023;4(4) View
  27. 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 2024;37(1):43 View
  28. Fu J, Li C, Zhou C, Li W, Lai J, Deng S, Zhang Y, Guo Z, Wu Y. Methods for Analyzing the Contents of Social Media for Health Care: Scoping Review. Journal of Medical Internet Research 2023;25:e43349 View
  29. Ni Z, Zhu L, Li S, Zhang Y, Zhao R. Characteristics and associated factors of health information-seeking behaviour among patients with inflammatory bowel disease in the digital era: a scoping review. BMC Public Health 2024;24(1) View

Books/Policy Documents

  1. Leightley D, Sharp M, Williamson V, Fear N, Gribble R. Social Media and the Armed Forces. View
  2. Stemmer M, Parmet Y, Ravid G. ICT for Health, Accessibility and Wellbeing. View
  3. Leightley D, Sharp M, Williamson V, Fear N, Gribble R. Soziale Medien und die Streitkräfte. View