Medical Data Mining on the Internet: Research on a Cancer Information System

Houston, Andrea L. and Chen, Hsinchun and Hubbard, Susan M. and Schatz, Bruce R. and Ng, Tobun Dorbin and Sewell, Robin R. and Tolle, Kristin M. (1999) Medical Data Mining on the Internet: Research on a Cancer Information System. Artificial Intelligence Review 13:pp. 437-466.

Full text available as:
PDF - Requires Adobe Acrobat Reader or other PDF viewer.

Abstract

This paper discusses several data mining algorithms and techniques that we have developed at the University of Arizona Artificial Intelligence Lab.We have implemented these algorithms and techniques into several prototypes, one of which focuses on medical information developed in cooperation with the National Cancer Institute (NCI) and the University of Illinois at Urbana-Champaign.We propose an architecture for medical knowledge information systems that will permit data mining across several medical information sources and discuss a suite of data mining tools that we are developing to assist NCI in improving public access to and use of their existing vast cancer information collections.

EPrint Type:	Journal Article (Paginated)
Keywords:	National Science Digital Library, NSDL, Artificial Intelligence Lab, AI Lab, Cancer Information System
Subjects:	Internet Data Mining Medical Libraries
ID Code:	426
Deposited On:	16 August 2004
Alternative Locations:	http://ai.bpa.arizona.edu/go/papers.html
Eprint Statistics:	View statistics for this eprint
Tell A Colleague:	Tell a colleague about it.

Agrawal, R., Imielinski, T. & Swami, A. (1993). Database Mining: A Performance Perspective.

IEEE Transactions on Knowledge and Data Engineering 5(6): 914–925.

Brill, E. (1993). A Corpus-based Approach to Language Learning. PhD thesis, The University

of Pennsylvania, Philadelphia, PA.

Chen, H., Chung, Y., Houston, A. L., Li, P. C. & Schatz, B. R. (1999). Using Neural Networks

for Vocabulary Switching. Submitted to IEEE Expert.

Chen, H., Houston, A., Yen, J. & Nunamaker, J. F. (1996a). Toward Intelligent Meeting

Agents. IEEE COMPUTER (August) 29(8): 62–70.

Chen, H., Houston, A. L., Swell, R. R. & Schatz B. R. (1998a). Internet Browsing and Searching:

User Evaluations of Category Map and Concept Space Techniques. Journal of the

American Society for Information Science (May) 49(7): 582–603.

Chen, H., Hsu, P., Orwig, R., Hoopes, L. & Nunamaker, J. F. (1994). Automatic Concept

Classification of Text from Electronic Meetings. Communications of the ACM (October)

37(10): 56–73.

Chen, H. & Lynch, K. J. (1992). Automatic Construction of Networks of Concepts Characterizing

Document Databases. IEEE Transactions on Systems, Man and Cybernetics

(September/October) 22(5): 885–902.

Chen, H., Lynch, K. J. Basu, K. & Ng, D. T. (1993). Generating, Integrating, and Activating

Thesauri for Concept-Based Document Retrieval. IEEE EXPERT, Special Series on

Artificial Intelligence in Text-Based Information Systems (April) 8(2): 25–34.

Chen, H. & Ng, D. T. (1995). An Algorithmic Approach to Concept Exploration in a

Large Knowledge Network (Automatic Thesaurus Consultation): Symbolic Branch-and-

Bound vs. Connectionist Hopfield Net Activation. Journal of the American Society for

Information Science (June) 46(5): 348–369.

Chen, H., Schuffels, C. & Orwig, R. (1996b). Internet Categorization and Search: A Machine

Learning approach. Journal of Visual Communications and Image Representations

(March) 7(1): 88–102.

Chen, H., Zhang, Y. & Houston, A. L. (1998b). Semantic Indexing and Searching Using a

Hopfield Net. Journal of Information Science (JIS) (January) 24(1): 3–18.

Dalton, J. & Deshmane A. (1991). Artificial Neural Networks. IEEE Potentials (April) 10(2):

33–36.

Decker, K. M. & Focardi, S. (1995). Technology Overview: A Report on Data Mining.

Technical Report CSCS TR-95-92, Swiss Scientific Computing Center.

Fayyad, U. M., Piatetsky-Shapiro, G. & Smyth, P. (1996a). From Data Mining to Knowledge

Discovery: An Overview. In Fayyad, U. M., Piatetsky-Shapiro, G., Smyth, P. &

Uthurusamy, R. (eds.) Advances in Knowledge Discovery and Data Mining, 1–36. AAAI

Press/MIT Press.

Fayyad, U. M., Piatetsky-Shapiro, G. & Smyth, P. (1996b). From Data Mining to Knowledge

Discovery in Databases. AI Magazine 17(3): 37–54.

Holsheimer, M. & Siebes, A. P. J. M. (1994). Data Mining: The Search for Knowledge in

Databases. Technical Report CS-R9406, CWI: Dutch National Research Center.

Honkela, T., Kaski, S., Kohonen, T. & Lagus, K. (1998). Self-Organizing Maps of Very Large

Document Collections: Justification for the WEBSOM Method. In Balderjahn, I., Mathar,

R. & Schader, M. (eds.) Classification, Data Analysis, and Data Highways, 245–252.

Springer: Berlin.

Honkela, T., Kaski, S., Lagus, K. & Kohonen, T. (1996a). Newsgroup Exploration with

WEBSOM Method and Browsing Interface. Techical Report A32, Helsinki University of

Technology, Laboratory of Computer and Information Science, Espoo, Finland.

Honkela, T., Kaski, S., Lagus, K. & Kohonen, T. (1996b). Self-Organizing Maps of

Document Collections. ALMA 1(2). Electronic Journal, address: (http://www.diemme.it

/luigi/alma.html).

Hopfield, J. J. (1982). Neural Network and Physical Systems with Collective Computational

Abilities. Proceedings of the National Academy of Science, USA 79(4): 2554–2558.

Houston, A. L., Chen, H., Schatz, B. R., Hubbard, S. M., Doszkocs, T. E., Swell, R. R.,

Tolle, K. M. & Ng, T. D. (1996). Exploring the Use of Concept Space, Category Map

Techniques and Natural Language Parsers to Improve Medical Information Retrieval.

Technical report, University of Arizona, AI Group Working Paper, January.

Houston, A. L., Chen, H., Schatz, B. R., Hubbard, S. M., Swell, R. R. & Ng, T. D.

(1998). Exploring the Use of Concept Space to Improve Medical Information Retrieval.

International Journal of Decision Support Systems, forthcoming.

Hubbard, S. M., Martin, N. B. & Thurn, A. L. (1995). NCI’s Cancer Information Systems-

Bringing Medical Knowledge to Clinicians. Oncology (April) 9(4): 302–314.

Kashi, S., Honkela, T., Lagus, K. & Kohonen, T. (1996). Creating an Order in Digital Libraries

with Self-Organizing Maps. In Proceedings of WCNN ’96, World Congress on Neural

Networks, September 15–18, San Diego, California, 814–817. Mahwah, NJ: Lawrence

Erlbaum and INNS Press.

Khosla, R. & Dillon, T. (1997). Knowledge Discovery, Data Mining and Hybrid Systems.

In Engineering Intelligent Hybrid Multi-Agent Systems, 143–177. Kluwer Academic

Publishers.

Knight, K. (1990). Connectionist Ideas and Algorithms. Communications of the ACM

(November) 33(11): 59–74.

Kohonen, T. (1989). Self-Organization and Associate Memory, 3rd edn. Springer-Verlag:

Berlin Heidelberg.

Kohonen, T. (1995). Self-Organization Maps. Springer-Verlag: Berlin Heidelberg.

Lippmann, R. P. (1987). An Introduction to Computing with Neural Networks. IEEE Acoustics

Speech and Signal Processing Magazine (April) 4(2), 4–22.

Ritter, H. & Kohonen, T. (1989). Self-Organizing Semantic Maps. Biological Cybernetics 61:

241–254.

Salton, G. (1989). Automatic Text Processing. Addison-Wesley Publishing Company, Inc.:

Reading, MA.

Tank, D.W. & Hopfield, J. J. (1987). Collective Computation in Neuronlike Circuits. Scientific

American (December) 257(6): 104–114.

Tolle, K. M. (1997). Improving Concept Extracting from Text Using Natural Language

Processing Noun Phrasing Tools: An Experiment in Medical Information Retrieval.

Master’s thesis, Unversity of Arizona, Department of MIS, Tucson, AZ, May.

Uthurusamy, R. (1996). From Data Mining to Knowledge Discovery: Current Challenges and

Future Directions. In Fayyad, U. M., Piatetsky-Shapiro, G., Smyth, P. & Uthurusamy, R.

(eds.) Advances in Knowledge Discovery and Data Mining, 561–572. AAAI Press/MIT

Press.

Varnado, S. (1995). The Role of Information Technology in Reducing Health Care Cost. In

Proceedings of SPIE – The International Society for Optical Engineering volume 2618:

Health Care Information Infrastructure, 36–46. Philadelphia, PA, October.