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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.

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Title: 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.
Authors: Sarker, Abeed1, Belousov, Maksim2, Friedrichs, Jasper3, Hakala, Kai4, Mehryary, Farrokh4, Kiritchenko, Svetlana5, Han, Sifei6, Tran, Tung6, Rios, Anthony6, Kavuluru, Ramakanth7, de Bruijn, Berry5, Ginter, Filip8, Mahata, Debanjan9, Mohammad, Saif M5, Nenadic, Goran2, Gonzalez-Hernandez, Graciela1
Source: Journal of the American Medical Informatics Association; Oct2018, Vol. 25 Issue 10, p1274-1283, 10p, 5 Charts, 4 Graphs
Database: Applied Science & Technology Source
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Header DbId: aci
DbLabel: Applied Science & Technology Source
An: 132389134
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
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  Data: <searchLink fieldCode="JN" term="%22Journal+of+the+American+Medical+Informatics+Association%22">Journal of the American Medical Informatics Association</searchLink>; Oct2018, Vol. 25 Issue 10, p1274-1283, 10p, 5 Charts, 4 Graphs
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=132389134
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        Value: 10.1093/jamia/ocy114
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        Text: English
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              Text: Oct2018
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