Data and systems for medication-related text classification and concept normalization from Twitter: insights from the Social Media Mining for Health (SMM4H)-2017 shared task

OBJECTIVE: We executed the Social Media Mining for Health (SMM4H) 2017 shared tasks to enable the community-driven development and large-scale evaluation of automatic text processing methods for the classification and normalization of health-related text from social media. An additional objective wa...

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Detalles Bibliográficos
Autores principales: Sarker, Abeed, Belousov, Maksim, Friedrichs, Jasper, Hakala, Kai, Kiritchenko, Svetlana, Mehryary, Farrokh, Han, Sifei, Tran, Tung, Rios, Anthony, Kavuluru, Ramakanth, de Bruijn, Berry, Ginter, Filip, Mahata, Debanjan, Mohammad, Saif M, Nenadic, Goran, Gonzalez-Hernandez, Graciela
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2018
Materias:
Research and Applications
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6188524/
https://www.ncbi.nlm.nih.gov/pubmed/30272184
http://dx.doi.org/10.1093/jamia/ocy114

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6188524/
https://www.ncbi.nlm.nih.gov/pubmed/30272184
http://dx.doi.org/10.1093/jamia/ocy114

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