Exploring brand-name drug mentions on Twitter for pharmacovigilance

Twitter 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...

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Detalles Bibliográficos
Autores: Carbonell, Pablo, Mayer, Miguel Ángel, 1960-, Bravo Serrano, Àlex, 1984-
Tipo de recurso: artículo
Estado:Versión publicada
Fecha de publicación:2015
País:España
Institución:Varias* (Consorci de Biblioteques Universitáries de Catalunya, Centre de Serveis Científics i Acadèmics de Catalunya)
Repositorio:Recercat. Dipósit de la Recerca de Catalunya
OAI Identifier:oai:recercat.cat:10230/25148
Acceso en línea:http://hdl.handle.net/10230/25148
http://dx.doi.org/10.3233/978-1-61499-512-8-55
Access Level:acceso abierto
Palabra clave:Drogues -- Aspectes socials
Twitter
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spelling Exploring brand-name drug mentions on Twitter for pharmacovigilanceCarbonell, PabloMayer, Miguel Ángel, 1960-Bravo Serrano, Àlex, 1984-Drogues -- Aspectes socialsTwitterTwitter 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.IOS Press 201520152015info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfapplication/pdfhttp://hdl.handle.net/10230/25148http://dx.doi.org/10.3233/978-1-61499-512-8-55reponame:Recercat. Dipósit de la Recerca de Catalunyainstname:Varias* (Consorci de Biblioteques Universitáries de Catalunya, Centre de Serveis Científics i Acadèmics de Catalunya)InglésStudies in Health Technology and Informatics. 2015;210:55-9© 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:10.3233/978-1-61499-512-8-55https://creativecommons.org/licenses/by-nc/3.0info:eu-repo/semantics/openAccessoai:recercat.cat:10230/251482026-05-29T05:05:01Z
dc.title.none.fl_str_mv Exploring brand-name drug mentions on Twitter for pharmacovigilance
title Exploring brand-name drug mentions on Twitter for pharmacovigilance
spellingShingle Exploring brand-name drug mentions on Twitter for pharmacovigilance
Carbonell, Pablo
Drogues -- Aspectes socials
Twitter
title_short Exploring brand-name drug mentions on Twitter for pharmacovigilance
title_full Exploring brand-name drug mentions on Twitter for pharmacovigilance
title_fullStr Exploring brand-name drug mentions on Twitter for pharmacovigilance
title_full_unstemmed Exploring brand-name drug mentions on Twitter for pharmacovigilance
title_sort Exploring brand-name drug mentions on Twitter for pharmacovigilance
dc.creator.none.fl_str_mv Carbonell, Pablo
Mayer, Miguel Ángel, 1960-
Bravo Serrano, Àlex, 1984-
author Carbonell, Pablo
author_facet Carbonell, Pablo
Mayer, Miguel Ángel, 1960-
Bravo Serrano, Àlex, 1984-
author_role author
author2 Mayer, Miguel Ángel, 1960-
Bravo Serrano, Àlex, 1984-
author2_role author
author
dc.subject.none.fl_str_mv Drogues -- Aspectes socials
Twitter
topic Drogues -- Aspectes socials
Twitter
description Twitter 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.
publishDate 2015
dc.date.none.fl_str_mv 2015
2015
2015
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/10230/25148
http://dx.doi.org/10.3233/978-1-61499-512-8-55
url http://hdl.handle.net/10230/25148
http://dx.doi.org/10.3233/978-1-61499-512-8-55
dc.language.none.fl_str_mv Inglés
language_invalid_str_mv Inglés
dc.relation.none.fl_str_mv Studies in Health Technology and Informatics. 2015;210:55-9
dc.rights.none.fl_str_mv https://creativecommons.org/licenses/by-nc/3.0
info:eu-repo/semantics/openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by-nc/3.0
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
application/pdf
dc.publisher.none.fl_str_mv IOS Press 
publisher.none.fl_str_mv IOS Press 
dc.source.none.fl_str_mv reponame:Recercat. Dipósit de la Recerca de Catalunya
instname:Varias* (Consorci de Biblioteques Universitáries de Catalunya, Centre de Serveis Científics i Acadèmics de Catalunya)
instname_str Varias* (Consorci de Biblioteques Universitáries de Catalunya, Centre de Serveis Científics i Acadèmics de Catalunya)
reponame_str Recercat. Dipósit de la Recerca de Catalunya
collection Recercat. Dipósit de la Recerca de Catalunya
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