Paper: Extracting drug indications and adverse drug reactions from Spanish health social media

ACL ID W14-3415
Title Extracting drug indications and adverse drug reactions from Spanish health social media
Venue Proceedings of the BioNLP Shared Task 2013 Workshop
Session
Year 2014
Authors

In this paper, we present preliminary re- sults obtained using a system based on co- occurrence of drug-effect pairs as a first step in the study of detecting adverse drug reactions and drug indications from social media texts. To the best of our knowl- edge, this is the first work that extracts this kind of relationships from user mes- sages that were collected from an online Spanish health-forum. In addition, we also describe the automatic construction of the first Spanish database for drug indications and adverse drug reactions.