Carbonell, PabloMayer, Miguel Ángel, 1960-Bravo Serrano, Àlex, 1984-2015-11-192015-11-192015Carbonell P, Mayer MA, Bravo À. Exploring brand-name drug mentions on Twitter for pharmacovigilance. Stud Health Technol Inform. 2015;210:55-9. DOI: 10.3233/978-1-61499-512-8-550926-9630http://hdl.handle.net/10230/25148Twitter has been proposed by several studies as a means to track public health trends such as influenza and Ebola outbreaks by analyzing user messages in order to measure different population features and interests. In this work we analyze the number and features of mentions on Twitter of drug brand names in order to explore the potential usefulness of the automated detection of drug side effects and drug-drug interactions on social media platforms such as Twitter. This information can be used for the development of predictive models for drug toxicity, drug-drug interactions or drug resistance. Taking into account the large number of drug brand mentions that we found on Twitter, it is promising as a tool for the detection, understanding and monitoring the way people manage prescribed drugs.application/pdfeng© 2015 European Federation for Medical Informatics (EFMI). This article is published online with Open Access by IOS Press and distributed under the terms of the Creative Commons Attribution Non-Commercial License. doi:10.3233/978-1-61499-512-8-55Drogues -- Aspectes socialsTwitterExploring brand-name drug mentions on Twitter for pharmacovigilanceinfo:eu-repo/semantics/articlehttp://dx.doi.org/10.3233/978-1-61499-512-8-55info:eu-repo/semantics/openAccess