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

Infoveillance, Infodemiology, Digital Disease Surveillance, Infodemic Management (1041) Medicine 2.0: Social Media, Open, Participatory, Collaborative Medicine (1641) Infodemiology and Infoveillance (1349) Crowdsourcing and Mechanical Turks (98) Pharmacovigilance (134)

Published on in Vol 1, No 2 (2015): Jul-Dec

Identifying Adverse Effects of HIV Drug Treatment and Associated Sentiments Using Twitter

Identifying Adverse Effects of HIV Drug Treatment and Associated Sentiments Using Twitter

Identifying Adverse Effects of HIV Drug Treatment and Associated Sentiments Using Twitter

Authors of this article:

Cosme Adrover1 Author Orcid Image ;   Todd Bodnar1 Author Orcid Image ;   Zhuojie Huang1 Author Orcid Image ;   Amalio Telenti2 Author Orcid Image ;   Marcel Salathé1 Author Orcid Image
Article Authors Cited by (47) Tweetations (12) Metrics

Journals

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  19. Yin Z, Sulieman L, Malin B. A systematic literature review of machine learning in online personal health data. Journal of the American Medical Informatics Association 2019;26(6):561 View
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  22. Radzikowski J, Stefanidis A, Jacobsen K, Croitoru A, Crooks A, Delamater P. The Measles Vaccination Narrative in Twitter: A Quantitative Analysis. JMIR Public Health and Surveillance 2016;2(1):e1 View
  23. Routray R, Tetarenko N, Abu-Assal C, Mockute R, Assuncao B, Chen H, Bao S, Danysz K, Desai S, Cicirello S, Willis V, Alford S, Krishnamurthy V, Mingle E. Application of Augmented Intelligence for Pharmacovigilance Case Seriousness Determination. Drug Safety 2020;43(1):57 View
  24. Ahne A, Orchard F, Tannier X, Perchoux C, Balkau B, Pagoto S, Harding J, Czernichow T, Fagherazzi G. Insulin pricing and other major diabetes-related concerns in the USA: a study of 46 407 tweets between 2017 and 2019. BMJ Open Diabetes Research & Care 2020;8(1):e001190 View
  25. Leis A, Ronzano F, Mayer M, Furlong L, Sanz F. Evaluating Behavioral and Linguistic Changes During Drug Treatment for Depression Using Tweets in Spanish: Pairwise Comparison Study. Journal of Medical Internet Research 2020;22(12):e20920 View
  26. Mendhe C, Henderson N, Srivastava G, Mago V. A Scalable Platform to Collect, Store, Visualize, and Analyze Big Data in Real Time. IEEE Transactions on Computational Social Systems 2021;8(1):260 View
  27. van Heerden A, Young S, Park C. Use of social media big data as a novel HIV surveillance tool in South Africa. PLOS ONE 2020;15(10):e0239304 View
  28. Bour C, Schmitz S, Ahne A, Perchoux C, Dessenne C, Fagherazzi G. Scoping review protocol on the use of social media for health research purposes. BMJ Open 2021;11(2):e040671 View
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  33. Effenberger M, Kronbichler A, Bettac E, Grabherr F, Grander C, Adolph T, Mayer G, Zoller H, Perco P, Tilg H. Using Infodemiology Metrics to Assess Public Interest in Liver Transplantation: Google Trends Analysis. Journal of Medical Internet Research 2021;23(8):e21656 View
  34. Engelmann L. Digital epidemiology, deep phenotyping and the enduring fantasy of pathological omniscience. Big Data & Society 2022;9(1) View
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Books/Policy Documents

  1. Alves V, Capuzzi S, Baker N, Muratov E, Trospsha A, Hickey A. Approaching Complex Diseases. View
  2. Jiang K, Zhang D, Bernard G. Machine Learning and Principles and Practice of Knowledge Discovery in Databases. View