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

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
• Year: 1999
• Where: AIR
• Authors: Andrea Houston, Hsinchun Chen, Susan Molloy Hubbard, Bruce R. Schatz, Tobun D. Ng, Robin R. Sewell, Kristin M. Tolle
• Keywords: AIR 1999, Artificial Intelligence Lab, Medical Information, National Cancer Institute