Adverse Drug Reactions (ADRs), also known as drug side effects, are a major concern for public health, costing health care systems worldwide millions of dollars. Social media has been identified as a source of information that could be used to find signals of potential ADRs to supplement traditional passive approaches from regulatory agencies.
CSIRO has developed the CADEminer (CSIRO Adverse Drug Event miner) system that mines online forums containing drug ratings and reviews for active surveillance. It uses machine learning techniques to identify mentions of drugs and ADRs in the forums and then uses data mining algorithms to discover signals of potential ADRs that are currently unknown and warrant further review.
- Karimi S; Wang C, Metke A, Gaire R, Paris C, Harvey B. Text and Data Mining Techniques in Adverse Drug Reaction Detection. ACM Computing Surveys. 47(4), 56, 2015
- Karimi S, Metke A, Kemp M, Wang C. CADEC: A Corpus of Adverse Drug Event Annotations. Journal of Biomedical Informatics. 55:73â€“81, 2015.
- Metke A, Karimi S, Paris C. Evaluation of Text-Processing Algorithms for Adverse Drug Event Extraction from Social Media. International Workshop on Social Media Retrieval and Analysis. pp. 15-20, 2014.