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

Persistent Link:
http://hdl.handle.net/10150/106388
Title:
Medical Data Mining on the Internet: Research on a Cancer Information System
Author:
Houston, Andrea L.; Chen, Hsinchun; Hubbard, Susan M.; Schatz, Bruce R.; Ng, Tobun Dorbin; Sewell, Robin R.; Tolle, Kristin M.
Citation:
Medical Data Mining on the Internet: Research on a Cancer Information System 1999, 13:437-466 Artificial Intelligence Review
Publisher:
Kluwer
Journal:
Artificial Intelligence Review
Issue Date:
1999
Description:
Artificial Intelligence Lab, Department of MIS, University of Arizona
URI:
http://hdl.handle.net/10150/106388
Submitted date:
2004-08-16
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.
Type:
Journal Article (Paginated)
Language:
en
Keywords:
Internet; Data Mining; Medical Libraries
Local subject classification:
National Science Digital Library; NSDL; Artificial intelligence lab; AI lab; Cancer information system

Full metadata record

DC FieldValue Language
dc.contributor.authorHouston, Andrea L.en_US
dc.contributor.authorChen, Hsinchunen_US
dc.contributor.authorHubbard, Susan M.en_US
dc.contributor.authorSchatz, Bruce R.en_US
dc.contributor.authorNg, Tobun Dorbinen_US
dc.contributor.authorSewell, Robin R.en_US
dc.contributor.authorTolle, Kristin M.en_US
dc.date.accessioned2004-08-16T00:00:01Z-
dc.date.available2010-06-18T23:45:38Z-
dc.date.issued1999en_US
dc.date.submitted2004-08-16en_US
dc.identifier.citationMedical Data Mining on the Internet: Research on a Cancer Information System 1999, 13:437-466 Artificial Intelligence Reviewen_US
dc.identifier.urihttp://hdl.handle.net/10150/106388-
dc.descriptionArtificial Intelligence Lab, Department of MIS, University of Arizonaen_US
dc.description.abstractThis 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.en_US
dc.format.mimetypeapplication/pdfen_US
dc.language.isoenen_US
dc.publisherKluweren_US
dc.subjectInterneten_US
dc.subjectData Miningen_US
dc.subjectMedical Librariesen_US
dc.subject.otherNational Science Digital Libraryen_US
dc.subject.otherNSDLen_US
dc.subject.otherArtificial intelligence laben_US
dc.subject.otherAI laben_US
dc.subject.otherCancer information systemen_US
dc.titleMedical Data Mining on the Internet: Research on a Cancer Information Systemen_US
dc.typeJournal Article (Paginated)en_US
dc.identifier.journalArtificial Intelligence Reviewen_US
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