Evaluation of text-processing algorithms for adverse drug event extraction from social media

SoMeRA 2014 - Proceedings of the 1st ACM International Workshop on Social Media Retrieval and Analysis, Co-located with SIGIR 2014

Volumn , Issue , 2014, Pages 15-20

  Metke Jimenez, Alejandro ^a   Karimi, Sarvnaz ^a   Paris, Cecile ^a  

^a CSIRO   (Australia)

Author keywords

Adverse drug reaction discovery; Information extraction; Social media; Text processing.

Indexed keywords

ALGORITHMS; INFORMATION RETRIEVAL; PHARMACODYNAMICS; TEXT PROCESSING;

ADVERSE DRUG REACTIONS; EVENT EXTRACTION; EXTRACTING INFORMATION; HEALTH PROFESSIONALS; LEXICON-BASED; PHARMACEUTICAL COMPANY; SOCIAL MEDIA; SOURCES OF INFORMATIONS;

SOCIAL NETWORKING (ONLINE);

EID: 84908615674     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/2632188.2632200     Document Type: Conference Paper

References (15)

1. Introductory guide MedDRA version 17.0. Technical Report MSSO-DI-6003-17.0.0, The International Conference on Harmonisation of Technical Requirements for Registration of Pharmaceuticals for Human Use (ICH), March 2014.
2. A. Benton, L. Ungar, S. Hill, S. Hennessy, J. Mao, A. Chung, C. Leonard, and J. Holmes. Identifying potential adverse effiects using the web: A new approach to medical hypothesis generation. Journal of Biomedical Informatics, 44(6):989-996, 2011.
3. W. Chapman, W. Bridewell, P. Hanbury, G. Cooper, and B. Buchanan. A simple algorithm for identifying negated findings and diseases in discharge summaries. Journal of Biomedical Informatics, 34(5):301-310, 2001.
4. B. Chee, R. Berlin, and B. Schatz. Predicting adverse drug events from personal health messages. In AMIA Annual Symposium Proceedings, pages 217-226, Washington, DC, 2011.
5. J. Ehsani, T. Jackson, and S. Duckett. The incidence and cost of adverse events in victorian hospitals 2003-04. The Medical Journal of Australia, 184(11):551-555, 2006.
6. S. Fox and S. Jones. The social life of health information. Washington, DC: Pew Internet & American Life Project, pages 2009-12, 2009.
7. B. Hug, C. Keohane, D. Seger, C. Yoon, and D. Bates. The costs of adverse drug events in community hospitals. Joint Commission Journal on Quality and Patient Safety, 38(3):120-126, 2012.
8. S. Karimi, S. Kim, and L. Cavedon. Drug side-effiects: What do patient forums reveal? In Proceedings of the 2nd International Workshop on Web Science and Information Exchange in the Medical Web, pages 14-15, Glasgow, UK, 2011.
9. M. Kuhn, M. Campillos, I. Letunic, L. Jensen, and P. Bork. A side effect resource to capture phenotypic effects of drugs. Molecular Systems Biology, 6(1):Article 343, 2010.
10. R. Leaman, L. Wojtulewicz, R. Sullivan, A. Skariah, J. Yang, and G. Gonzalez. Towards Internet-age pharmacovigilance: Extracting adverse drug reactions from user posts to health-related social networks. In Proceedings of the Workshop on Biomedical Natural Language Processing, pages 117-125, Uppsala, Sweden, 2010.
11. D. Lee, R. Cornet, F. Lau, and N. De Keizer. A survey of SNOMED CT implementations. Journal of Biomedical Informatics, 46(1):87-96, 2013.
12. X. Liu and H. Chen. AZDrugminer: An information extraction system for mining patient-reported adverse drug events in online patient forums. In Proceedings of the 2013 International Conference on Smart Health, pages 134-150, Beijing, China, 2013.
13. E. Roughead and S. Semple. Medication safety in acute care in Australia: Where are we now? part 1: A review of the extent and causes of medication problems 2002-2008. Australia and New Zealand Health Policy, 6(1):18, 2009.
14. H. Suominen, S. Salanterä, S. Velupillai, W. W. Chapman, G. Savova, N. Elhadad, S. Pradhan, B. R. South, D. L. Mowery, G. J. Jones, et al. Overview of the ShARe/CLEF eHealth evaluation lab 2013. In Information Access Evaluation. Multilinguality, Multimodality, and Visualization, pages 212-231. 2013.
15. C. Yang, L. Jiang, H. Yang, and X. Tang. Detecting signals of adverse drug reactions from health consumer contributed content in social media. In Proceedings of ACM SIGKDD Workshop on Health Informatics, Beijing, China, 2012.