Implicit text linkages between medline records: Using Arrowsmith as an aid to scientific discovery

Library Trends

Volumn 48, Issue 1, 1999, Pages 48-59

  Swanson, Don R ^a   Smalheiser, Neil R ^b  

^a UNIVERSITY OF CHICAGO   (United States)

^b UNIVERSITY OF ILLINOIS AT CHICAGO   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

EID: 0033467661     PISSN: 00242594     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article

References (34)

1. Chen, Z. (1993). Let documents talk to each other: A computer model for connection of short documents. Journal of Documentation, 49(1), 44-54.
2. Chevalley, T. H.; Rizzoli, R.; Manen, D.; Caverzasio, J.; Bonjour, J. -P. (1998). Arginine increases insulin-like growth factor-I production and collagen synthesis in osteoblast-like cells. Bone, 23(2), 103-109.
3. Corpas, E.; Harman, S. M.; Blackman, M. R. (1993). Human growth hormone and human aging. Endocrine Reviews, 14(1), 20-39.
4. Cory, K. A. (1997). Discovering hidden analogies in an online humanities database. Computers and the Humanities, 31(1), 1-12.
5. Davies, R. (1989). The creation of new knowledge by information retrieval and classification. Journal of Documentation, 45(4), 273-301.
6. Finn, R. (1998). Program uncovers hidden connections in the literature. Scientist, 12(10), 12-13.
7. Garfield, E. (1994). Linking literatures: An intriguing use of the Citation Index. Current Contents, 21, 3-5.
8. Gordon, M. D., & Lindsay, R. K. (1996). Toward 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. Journal of the American Society for Information Science, 47(2), 116-128.
9. Gordon, M. D., & Dumais, S. (1998). Using latent semantic indexing for literature based discovery. Journal of the American Society for Information Science, 49(8), 674-685.
10. Hurson, M.; Regan, M. C.; Kirk, S. J.; Wasserkrug, B. A.; & Barbul, A. (1995). Metabolic effects of arginine in a healthy elderly population. Journal of Parenteral and Enteral Nutrition, 19(3), 227-230.
11. Kirk, S. J.; Hurson, M.; Regan, M. C; Holt, D. R.; Wasserkrug, H. L.; & Barbul, A. (1993). Arginine stimulates wound healing and immune function in elderly human beings. Surgery, 114(2), 155-160.
12. Kostoff, R. N. (1998). Science and technology innovation. Retrieved January 1, 1999 from the World Wide Web: http://www.dtic.mil/dtic/kostoff/Swanson2.txt.
13. Rikken, F. (1998). Adverse drug reactions in a different context: A scientometric approach towards adverse drug reactions as a trigger for the development of new drugs. Unpublished doctoral dissertation, Rijksuniversiteit Groningen.
14. Ross, B. M. (1998). In reply. Archives of General Psychiatry, 55(8), 753.
15. Spasser, M. A. (1997). The enacted fate of undiscovered public knowledge. Journal of the American Society for Information Science, 48(8), 707-717.
16. Smalheiser, N. R., & Swanson, D. R. (1994). Assessing a gap in the biomedical literature: Magnesium deficiency and neurologic disease. Neuroscience Research Communications, 15(1), 1-9.
17. Smalheiser, N. R., & Swanson, D. R. (1996a). Indomethacin and Alzheimer's Disease. Neurology, 46(2), 583.
18. Smalheiser, N. R., & Swanson, D. R. (1996b). Linking Estrogen to Alzheimer's Disease: An informatics approach. Neurology, 47(3), 809-810.
19. Smalheiser, N. R., & Swanson, D. R. (1998a). Calcium-independent phospholipase A-sub-2 and schizophrenia. Archives of General Psychiatry, 55(8), 752-753.
20. Smalheiser, N. R., & Swanson, D. R. (1998b). Using Arrowsmith: A computer-assisted approach to forming and assessing scientific hypotheses. Computer Methods and Programs in Biomedicine, 57(3), 149-153.
21. Swanson, D. R. (1986a). Fish oil, Raynaud's Syndrome, and undiscovered public knowledge. Perspectives in Biology and Medicine, 50(1), 7-18.
22. Swanson, D. R. (1986b). Undiscovered public knowledge. Library Quarterly, 56(2), 103-118.
23. Swanson, D. R. (1987). Two medical literatures that are logically but not bibliographically connected. Journal of the American Society for Information Science, 38(4), 228-233.
24. Swanson, D. R. (1988). Migraine and magnesium: Eleven neglected connections. Perspectives in Biology and Medicine, 31(4), 526-557.
25. Swanson, D. R. (1989a). Online search for logically-related noninteractive medical literatures: A systematic trial-and-error strategy. Journal of the American Society for Information Science, 40(5), 356-358.
26. Swanson, D. R. (1989b). A second example of mutually isolated medical literatures related by implicit unnoticed connections. Journal of the American Society for Information Science, 40(6), 432-435.
27. Swanson, D. R. (1990a). The absence of co-citation as a clue to undiscovered causal connections. In C. L. Borgman (Ed.), Scholarly communication and bibliometrics (pp. 129-137). Newbury Park, CA: Sage.
28. Swanson, D. R. (1990b). Medical literature as a potential source of new knowledge. Bulletin of the Medical Library Association, 78(1), 29-37.
29. Swanson, D. R. (1990c). Somatomedin C and Arginine: Implicit connections between mutually isolated literatures. Perspectives in Biology and Medicine, 33(2), 157-186.
30. Swanson, D. R. (1991). Complementary structures in disjoint science literatures. In A. Bookstein (Ed.), SIGIR '91 (Proceedings of the Fourteenth Annual International ACM/ SIGIR Conference on Research and Development in Information Retrieval, Chicago, Illinois, USA, October 13-16, 1991) (pp. 280-289). New York: Association for Computing Machinery.
31. Swanson, D. R. (1993). Intervening in the life cycles of scientific knowledge. Library Trends 41(4), 606-631.
32. Swanson, D. R., & Smalheiser, N. R. (1997). An interactive system for finding complementary literatures: A stimulus to scientific discovery. Artificial Intelligence, 91(2), 183-203.
33. Valdes-Perez, R. E. (1994). Conjecturing hidden entities by means of simplicity and conservation laws: Machine discovery in chemistry. Artificial Intelligence, 65(2), 247-280.
34. Valdes-Perez, R. E. (1999). Principles of human-computer collaboration for knowledge discovery in science. Artificial Intelligence, 107(1), 335-346.