Analysis of the effect of sentiment analysis on extracting adverse drug reactions from tweets and forum posts-Reference-Cited by-同舟云学术

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Analysis of the effect of sentiment analysis on extracting adverse drug reactions from tweets and forum posts

Published:2016-08 Issue: Volume:62 Page:148-158
ISSN:1532-0464
Container-title:Journal of Biomedical Informatics
language:en
Short-container-title:Journal of Biomedical Informatics

Author:

Korkontzelos Ioannis,Nikfarjam Azadeh,Shardlow Matthew,Sarker Abeed,Ananiadou Sophia,Gonzalez Graciela H.

Funder

UK Medical Research Council

European Community’s Horizon 2020 Program

Publisher

Elsevier BV

Subject

Health Informatics,Computer Science Applications

Reference45 articles.

1. Adverse drug reactions as cause of admission to hospital: prospective analysis of 18 820 patients;Pirmohamed;BMJ,2004

2. Under-reporting of adverse drug reactions;Hazell;Drug Saf.,2006

3. Mining adverse drug reactions with e-science workflows;Curcin,2008

4. Validation studies of the health improvement network (thin) database for pharmacoepidemiology research;Lewis;Pharmacoepidemiol. Drug Saf.,2007

5. Pharmacovigilance from social media: mining adverse drug reaction mentions using sequence labeling with word embedding cluster features;Nikfarjam;J. Am. Med Inform. Assoc.,2015

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