Assessing the Feasibility of Large-Scale Natural Language Processing in a Corpus of Ordinary Medical Records: A Lexical Analysis

Journal of the American Medical Informatics Association

Volumn 4, Issue SUPPL., 1997, Pages 580-584

  Hersh, William R ^a   Campbell, Emily M ^a   Malveau, Susan E ^a  

^a NONE

Author keywords

[No Author keywords available]

Indexed keywords

EID: 0347210453     PISSN: 10675027     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article

References (21)

1. Hripcsak, G., et al., Unlocking clinical data from narrative reports: a study of natural language processing. Annals of Internal Medicine, 1995. 122: p. 681-688.
2. Dolin, R., Outcome analysis: considerations for an electronic health record. M.D. Computing, 1997. 14: p. 50-56.
3. Macleod, C., S. Chen, and J. Clifford, Parsing Unedited Medical Narrative, in Medical Language Processing: Computer Management of Narrative Data, N. Sager, C. Friedman, and M. Lyman, Editors. 1987, Addison-Wesley: Reading, MA. p. 163-173.
4. Friedman, C., et al., A general natural-language text processor for clinical radiology. Journal of the American Medical Informatics Association, 1994. 1: p. 161-174.
5. Lenert, L. and M. Tovar. Automated linkage of free-text descriptions of patients with a practice guideline. in Proceedings of the 17th Annual Symposium on Computer Applications in Medical Care. 1993. Washington, DC: McGraw-Hill.
6. Haug, P., et al. A natural language understanding system combining syntactic and semantic techniques. in Proceedings of the 18th Annual Symposium on Computer Applications in Medical Care. 1994. Washington, DC: Hanley Belfus.
7. Sager, N., et al., Natural language processing and the representation of clinical data. Journal of the American Medical Informatics Association, 1994. 1: p. 142-160.
8. Ertle, A., E. Campbell, and W. Hersh. Automated application of clinical practice guidelines for asthma management. in Proceedings of the 19th Annual AMIA Fall Symposium. 1996. Washington, DC: Hanley-Belfus.
9. Evans, D., et al. Automating concept identification in the electronic medical record: an experiment in extracting dosage information. in Proceedings of the 19th Annual AMIA Fall Symposium. 1996. Washington, DC: Hanley-Belfus.
10. Jain, N., et al. Identification of suspected tuberculosis patients based on natural language processing of chest radiograph reports. in Proceedings of the 19th Annual AMIA Fall Symposium. 1996. Washington, DC: Hanley-Belfus.
11. Sager, N., et al. Automatic encoding into SNOMED III: a preliminary investigation. in Proceedings of the 18th Annual Symposium on Computer Applications in Medical Care. 1994. Washington, DC: Hanley Belfus.
12. Larkey, L. and W. Croft. Combining classifiers in text categorization. in Proceedings of the 19th Annual International ACM Special Interest Group in Information Retrieval. 1996. Zurich: ACM Press.
13. Humphreys, B., et al., Planned NLM/AHCPR large-scale vocabulary test: using UMLS technology to determine the extent to which controlled vocabularies cover terminology needed for health care and public health. Journal of the American Medical Informatics Association, 1996. 3: p. 281-287.
14. Hersh, W., et al. Empirical, automated vocabulary discovery using large text corpora and advanced natural language processing tools. in Proceedings of the 19th Annual AMIA Fall Symposium. 1996. Washington, DC: Hanley-Belfus.
15. Evans, D. and W. Hersh, The CXR Reports: Model and Analysis, . 1993, Laboratory for Computational Linguistics, Carnegie Mellon University.
16. McCray, A., et al., UMLS knowledge for biomedical language processing. Bulletin of the Medical Library Association, 1993. 81: p. 184-194.
17. Lindberg, D., B. Humphreys, and A. McCray, The unified medical language system project. Methods of Information in Medicine, 1993. 32: p. 281-291.
18. Cimino, J., et al., Knowledge-based approaches to the maintenance of a large controlled medical terminology. Journal of the American Medical Informatics Association, 1994. 1: p. 35-50.
19. Rothwell, D., et al. Developing a standard data structure for medical lanaguage - the SNOMED proposal. in Proceedings of the 17th Annual Symposium on Computer Applications in Medical Care. 1993. Washington, DC: McGraw-Hill.
20. Davis, N., Medical Abbreviations: 8600 Conveniences at the Expense of Communications and Safety. 1993, Huntingdon Valley, PA: Neil M. Davis Associates.
21. Sweeney, L. Replacing personally-identifying information in medical records, the Scrub system. in Proceedings of the 19th Annual AMIA Fall Symposium. 1996. Washington, DC: Hanley-Belfus.