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

Infoveillance, Infodemiology, Digital Disease Surveillance, Infodemic Management (1050) Medicine 2.0: Social Media, Open, Participatory, Collaborative Medicine (1666) Infodemiology and Infoveillance (1369) Crowdsourcing and Mechanical Turks (99) Pharmacovigilance (138)

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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  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
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  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
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Books/Policy Documents

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  2. Jiang K, Zhang D, Bernard G. Machine Learning and Principles and Practice of Knowledge Discovery in Databases. View