High accuracy information extraction of medication information from clinical notes: 2009 i2b2 medication extraction challenge

Journal of the American Medical Informatics Association

Volumn 17, Issue 5, 2010, Pages 524-527

  Patrick, Jon ^a   Li, Min ^a  

^a UNIVERSITY OF SYDNEY   (Australia)

Author keywords

[No Author keywords available]

Indexed keywords

ACCURACY; ARTICLE; AUTOMATION; BIOMETRY; DRUG INFORMATION; HUMAN; LEARNING ALGORITHM; MAJOR CLINICAL STUDY; MEDICAL INFORMATION SYSTEM; MEDICAL RECORD; RELIABILITY; STANDARD; SUPPORT VECTOR MACHINE; SYSTEMATIZED NOMENCLATURE OF MEDICINE; ARTIFICIAL INTELLIGENCE; INFORMATION RETRIEVAL; METHODOLOGY; NATURAL LANGUAGE PROCESSING;

DRUG;

ARTIFICIAL INTELLIGENCE; ELECTRONIC HEALTH RECORDS; HUMANS; INFORMATION STORAGE AND RETRIEVAL; NATURAL LANGUAGE PROCESSING; PHARMACEUTICAL PREPARATIONS;

EID: 78149487508     PISSN: 10675027     EISSN: None     Source Type: Journal    
DOI: 10.1136/jamia.2010.003939     Document Type: Article

References (8)

1. Evans DA, Brownlow ND, Hersh WR, et al. Automating concept identification in the electionic meidcal record: an experiment in extracting doseage information. American Medical Informatics Association. Washington, DC, October 26-30, 1996. Symposium Proceedings: 388-92.
2. Sirohi E, Peissig P. Study of effect of drug lexicons on medication extraction from electronic medical records. Pacific Symposium on Biocomputing, Hawaii, January 4-8, 2005. 2005;10:308-18.
3. Gold S, Elhadad N, Zhu X, et al. Extracting structured medication event information from discharge summaries. American Medical Informatics Association. Washington, DC, November 8-12, 2008. Symposium Proceedings 2008;237-41.
4. Uzuner Ö, Solti I, Cadag E. Extracting medication information from clinical text. J Am Med Inform Assoc 2010;17:514-8.
5. CRF++. Yet Another CRF toolkit. Software available at: http://crfpp.sourceforge.net/ (accessed 8 Aug 2010).
6. Cristianini N, Shawe-Taylor J. An introduction to support vector machines and other kernel-based learning methods. Cambridge, UK: Cambridge University Press, 2000.
7. Wang Y, Patrick J. Evaluating linguistic features for clinical relation extraction. Proceedings of the Conference of the Pacific Association for Computational Linguistics (PACLING), Sapporo, Japan, September 1-4, 2009:349-55.
8. Patrick J, Wang Y, Budd P. An automated system for conversion of clinical notes into SNOMED clinical terminology. Proceedings of the 5th Australasian Symposium on ACSW Frontiers, Ballarat, Australia, 2007;68:219-26.