Automatic patient search for breast cancer clinical trials using free-text medical reports

IHI'10 - Proceedings of the 1st ACM International Health Informatics Symposium

Volumn , Issue , 2010, Pages 405-409

  Zhang, Jun ^a   Gu, Yingying ^a   Liu, Weisong ^a   Hu, Wen ^a   Zhao, Tian ^a   Mu, Xiangming ^a   Marx, James ^b   Frost, Floyd ^b   Tjoe, Judy ^b  

^a UNIVERSITY OF WISCONSIN MILWAUKEE   (United States)

^b AURORA HEALTH CARE   (United States)

Author keywords

breast cancer; clinical trials; patient search; subtree

Indexed keywords

BREAST CANCER; CLINICAL TRIAL; PATIENT SEARCH; STRUCTURAL PATTERN; SUBTREES;

ALGORITHMS; INFORMATION SCIENCE;

EXPERIMENTS;

EID: 78650943724     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/1882992.1883052     Document Type: Conference Paper

References (14)

1. A Wilcox, K Natarajan, C Weng, "Using personal health records for automated clinical trials recruitment: the ePaIRing model," Proc. AMIA Translational Bioinformatics Summit 2009, March 15-17, 2009, San Francisco, CA. pp. 136-140.
2. J. Kamal et al, "Using an information warehouse to screen patients for clinical trials: a prototype," Proc. 2005 AMIA Annual Symp. p. 1004, 2005.
3. Lonsdale et al., "Assessing clinical trial eligibility with logic expression queries," Data & Knowledge Engineering, Volume 66 , Issue 1, pp 3-17, July 2008.
4. L. Rokach et al., "Information retrieval system for medical narrative reports," Lecture Notes in Computer Science, Vol. 3055, pp. 217-228, Springer, 2004.
5. B. MacCartney et al., "Learning to recognize features of valid textual entailment," Proceedings of the Human Language Technology Conference of the North American Chapter of the Association for Computational Linguistics (HLT-NAACL 2006), 2006.
6. B. MacCartney and C. Manning, "Modeling semantic containment and exclusion in natural language inference," The 22nd International Conference on Computational Linguistics (Coling-08), Manchester, UK, August 2008
7. A. Hickl et al., "Recognizing textural entailment with LCC's Groundhog System," Proc. 2nd PASCAL Challenges Workshop on Recognizing Textural Entailment, 2006.
8. A. Hickl and J. Bensley, "A discourse commitment-based framework for recognizing textual entailment," Proc. ACL, 2007.
9. D. Jurafsky and J. J. Martin, Speech and Language Processing, 2nd Edition, Prentice-Hall, 2008.
10. R. A. Aronson, "Effective mapping of biomedical text to the UMLS Metathesaurus: the MetaMap program," Proceedings of 2001 AMIA Symposium, pp. 17-21.
11. Stanford software: parsing and subtree search. http://nlp.stanford.edu/ software/lex-parser.shtml and http://nlp.stanford.edu/software/tregex.shtml
12. A reference about word net. http://search.cpan.org/dist/WordNet- Similarity/
13. C. Manning, P. Raghavan, and H. Schutze, Introduction to Information Retrieval, Cambridge University Press, 2008.
14. S. Deerwester et al., "Indexing by latent semantic analysis" Journal of the American Society for Information Science, Vol 41, No.6, pp. 391-407.