Comparison of Seven Methods for Mining Hidden Links

Knowledge Discovery in Bioinformatics: Techniques, Methods, and Applications

Volumn , Issue , 2007, Pages 27-44

  Hu, Xiaohua ^a   Zhang, Xiaodan ^a   Zhou, Xiaohua ^a  

^a Drexel University   (United States)

Author keywords

B term centered ranking scheme; Mining hidden links; Unified medical language system(UMLS)

Indexed keywords

EID: 77951171507     PISSN: None     EISSN: None     Source Type: Book    
DOI: 10.1002/9780470124642.ch2     Document Type: Chapter

References (15)

1. R. Agrawal et al., Fast discovery of association rules, in Advances in Knowledge Discovery and Data Mining, U. Fayyad et al., Eds., AAAI/MIT Press, Cambridge, MA, 1995.
2. R. A. DiGiacome, J. M. Kremer, and D. M. Shah, Fish oil dietary supplementation is patients with Raynaud's phenomenon: a double-blind, controlled, prospective study, Am. J. Med., 8, 158-164, 1989.
3. D. Hristovski, J. Stare, B. Peterlin, and S. Dzeroski, Supporting discovery in medicine by association rule mining in Medline and UMLS, Medinfo, 10(pt. 2), 1344-1348, 2001.
4. X. Hu, Mining novel connections from large online digital library using biomedical ontologies, Lib. Manage. J. (Special Issue on Libraries in the Knowledge Era: Exploiting the Knowledge Wealth for Semantic Web Technology), May 2005.
5. M. D. Gordon, Literature-based discovery by lexical statistics, J. Am. Soc. Inf. Sci., 50, 574-587, 1999.
6. M. D. Gordon and R. L. Lindsay, Towards discovery support systems: a replication, re-examination, and extension of Swanson's work on literature-based discovery of a connection between Raynaud's and fish oil, J. Am. Soc. Inf. Sci., 47, 116-128, 1996.
7. M. D. Gordon and S. Dumais, Using latent semantic indexing for literature based discovery, J. Am. Soc. Inf. Sci., 48, 674-685, 1998.
8. W. Pratt and M. Yetisgen-Yildiz, LitLinker: capturing connections across the biomedical literature, K-CAP'03, Sanibel Island, FL, Oct. 23-25, 2003, pp. 105-112.
9. P. Srinivasan, Text mining: generating hypotheses from Medline, J. Am. Soc. Inf. Sci., 55(4), 396-413, 2004.
10. P. Srinivasan and B. Libbus, Mining Medline for implicit links between dietary substances and diseases.
11. D. R. Swanson, Migraine and magnesium: eleven neglected connections, Perspect. Biol. Med., 31(4), 526-557, 1988.
12. D. R. Swanson, Fish-oil, Raynaud's syndrome, and undiscovered public knowledge, Perspect. Biol. Med., 30(1), 7-18, 1986.
13. D. R. Swanson, Undiscovered public knowledge, Libr. Q., 56(2), 103-118,1986.
14. M.Weeber, R. Vos, H. Klein, L. T.W. de Jong-Van den Berg, A. Aronson, and G. Molema, Generating hypotheses by discovering implicit associations in the literature: a case report for new potential therapeutic uses for thalidomide, J. Am. Med. Inf. Assoc., 10(3), 252-259, 2003.
15. J. D. Wren, Extending the mutual information measure to rank inferred literature relationships, BMC Bioinf., 5, 145, 2004.