Paper: Towards Internet-Age Pharmacovigilance: Extracting Adverse Drug Reactions from User Posts in Health-Related Social Networks

ACL ID W10-1915
Title Towards Internet-Age Pharmacovigilance: Extracting Adverse Drug Reactions from User Posts in Health-Related Social Networks
Venue Workshop on Biomedical Natural Language Processing
Session
Year 2010
Authors

Adverse reactions to drugs are among the most common causes of death in industri- alized nations. Expensive clinical trials are not sufficient to uncover all of the adverse reactions a drug may cause, necessitating systems for post-marketing surveillance, or pharmacovigilance. These systems have typically relied on voluntary report- ing by health care professionals. However, self-reported patient data has become an increasingly important resource, with ef- forts such as MedWatch from the FDA al- lowing reports directly from the consumer. In this paper, we propose mining the re- lationships between drugs and adverse re- actions as reported by the patients them- selves in user comments to health-related websites. We evaluate our system on a manually annotated set of user comments, with promi...