This paper is in the following e-collection/theme issue:

Pharmacovigilance (134) Infodemiology and Infoveillance (1349) Natural Language Processing (692) Adverse Drug Events Detection, Pharmacovigilance and Surveillance (156) Infoveillance, Infodemiology, Digital Disease Surveillance, Infodemic Management (1041)

Published on in Vol 3, No 2 (2017): Apr-Jun

Filtering Entities to Optimize Identification of Adverse Drug Reaction From Social Media: How Can the Number of Words Between Entities in the Messages Help?

Filtering Entities to Optimize Identification of Adverse Drug Reaction From Social Media: How Can the Number of Words Between Entities in the Messages Help?

Filtering Entities to Optimize Identification of Adverse Drug Reaction From Social Media: How Can the Number of Words Between Entities in the Messages Help?

Authors of this article:

Redhouane Abdellaoui1, 2 Author Orcid Image ;   Stéphane Schück2 Author Orcid Image ;   Nathalie Texier2 Author Orcid Image ;   Anita Burgun1, 3 Author Orcid Image
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