Efficient classification of clinical reports utilizing natural language processing

AAAI Fall Symposium - Technical Report

Volumn FS-12-05, Issue , 2012, Pages 88-89

  Sarioglu, Efsun ^a   Yadav, Kabir ^b   Choi, Hyeong Ah ^a  

^a The George Washington University   (United States)

^b GEORGE WASHINGTON UNIVERSITY SCHOOL OF MEDICINE AND HEALTH SCIENCES   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

CLINICAL DECISION; COMPUTED TOMOGRAPHY; HEALTH INFORMATION TECHNOLOGIES; MACHINE LEARNING TECHNIQUES; MEDICAL DECISION MAKING; NATURAL LANGUAGE PROCESSING; PREDICTIVE MODELS; TEXT CLASSIFICATION;

CLASSIFICATION (OF INFORMATION); COMPUTERIZED TOMOGRAPHY; DECISION SUPPORT SYSTEMS; INFORMATION TECHNOLOGY; LEARNING ALGORITHMS; LEARNING SYSTEMS;

NATURAL LANGUAGE PROCESSING SYSTEMS;

EID: 84875630660     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (11)

1. Elkins, J. S.; Friedman, C.; Boden-Albala, B.; Sacco, R. L.; and Hripcsak, G. 2000. Coding neuroradiology reports for the Northern Manhattan Stroke Study: a comparison of natural language processing and manual review. Comput Biomed Res 33(1):1-10.
2. Friedman, C.; Alderson, O. P.; Austin, H. J.; Cimino, J. J.; and Johnson, B. S. 1994. A General Natural-Language Text Processor for Clinical Radiology. Journal of the American Medical Informatics Association 1(2):161-174.
3. Friedman, C. 2000. A broad-coverage natural language processing system. Proc AMIA Symp 270-274.
4. Hall, M.; Frank, E.; Holmes, G.; Pfahringer, B.; Reutemann, P.; and Witten, I. H. 2009. The WEKA data mining software: an update. SIGKDD Explor. Newsl. 11(1):10-18.
5. Hripcsak, G.; Kuperman, G.; Friedman, C.; and Heitjan, D. 1999. A reliability study for evaluating information extraction from radiology reports. Journal of the American Medical Informatics Association 6(2):143.
6. Joachims, T. 1998. Text categorization with support vector machines: Learning with many relevant features.
7. Meystre, S. M.; Savova, G. K.; Kipper-Schuler, K. C.; and Hurdle, J. F. 2008. Extracting information from textual documents in the electronic health record: a review of recent research. Yearb Med Inform 128-144.
8. Sarioglu, E.; Yadav, K.; and Choi, H.-A. 2012. Classification of Emergency Department CT Imaging Reports using Natural Language Processing and Machine Learning. In AMIA Proceedings: Summits on Clinical Research Informatics, 150.
9. Sebastiani, F. 2002. Machine learning in automated text categorization. ACM Comput. Surv. 34(1):1-47.
10. U.S. National Library of Medicine. 2012. UMLS Home Page. http://www.nlm.nih.gov/research/umls/.
11. Yadav, K.; E, C.; JS, H.; Z, A.; V, N.; and et al., G. P. 2012. Derivation of a clinical risk score for traumatic orbital fracture. In Press.