Comment on: “Deep learning for pharmacovigilance: recurrent neural network architectures for labeling adverse drug reactions in Twitter posts”

Detalles Bibliográficos
Autores principales: Magge, Arjun, Sarker, Abeed, Nikfarjam, Azadeh, Gonzalez-Hernandez, Graciela
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2019
Materias:
Correspondence
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6515520/
https://www.ncbi.nlm.nih.gov/pubmed/31087070
http://dx.doi.org/10.1093/jamia/ocz013
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author Magge, Arjun
Sarker, Abeed
Nikfarjam, Azadeh
Gonzalez-Hernandez, Graciela
author_facet Magge, Arjun
Sarker, Abeed
Nikfarjam, Azadeh
Gonzalez-Hernandez, Graciela
author_sort Magge, Arjun
collection PubMed
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spelling pubmed-65155202019-05-20 Comment on: “Deep learning for pharmacovigilance: recurrent neural network architectures for labeling adverse drug reactions in Twitter posts” Magge, Arjun Sarker, Abeed Nikfarjam, Azadeh Gonzalez-Hernandez, Graciela J Am Med Inform Assoc Correspondence Oxford University Press 2019-04-11 /pmc/articles/PMC6515520/ /pubmed/31087070 http://dx.doi.org/10.1093/jamia/ocz013 Text en © The Author(s) 2019. Published by Oxford University Press on behalf of the American Medical Informatics Association. http://creativecommons.org/licenses/by-nc/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited. For commercial re-use, please contact journals.permissions@oup.com
spellingShingle Correspondence
Magge, Arjun
Sarker, Abeed
Nikfarjam, Azadeh
Gonzalez-Hernandez, Graciela
Comment on: “Deep learning for pharmacovigilance: recurrent neural network architectures for labeling adverse drug reactions in Twitter posts”
title Comment on: “Deep learning for pharmacovigilance: recurrent neural network architectures for labeling adverse drug reactions in Twitter posts”
title_full Comment on: “Deep learning for pharmacovigilance: recurrent neural network architectures for labeling adverse drug reactions in Twitter posts”
title_fullStr Comment on: “Deep learning for pharmacovigilance: recurrent neural network architectures for labeling adverse drug reactions in Twitter posts”
title_full_unstemmed Comment on: “Deep learning for pharmacovigilance: recurrent neural network architectures for labeling adverse drug reactions in Twitter posts”
title_short Comment on: “Deep learning for pharmacovigilance: recurrent neural network architectures for labeling adverse drug reactions in Twitter posts”
title_sort comment on: “deep learning for pharmacovigilance: recurrent neural network architectures for labeling adverse drug reactions in twitter posts”
topic Correspondence
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6515520/
https://www.ncbi.nlm.nih.gov/pubmed/31087070
http://dx.doi.org/10.1093/jamia/ocz013
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AT nikfarjamazadeh commentondeeplearningforpharmacovigilancerecurrentneuralnetworkarchitecturesforlabelingadversedrugreactionsintwitterposts
AT gonzalezhernandezgraciela commentondeeplearningforpharmacovigilancerecurrentneuralnetworkarchitecturesforlabelingadversedrugreactionsintwitterposts

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