Artificial Intelligence Lab, Department of MIS, University of Arizona / 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.
| Identifer | oai:union.ndltd.org:arizona.edu/oai:arizona.openrepository.com:10150/106388 |
| Date | January 1999 |
| Creators | Houston, Andrea L., Chen, Hsinchun, Hubbard, Susan M., Schatz, Bruce R., Ng, Tobun Dorbin, Sewell, Robin R., Tolle, Kristin M. |
| Publisher | Kluwer |
| Source Sets | University of Arizona |
| Language | English |
| Detected Language | English |
| Type | Journal Article (Paginated) |
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