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

作者:Andrea L. Houston, Hsinchun Chen, Susan M. Hubbard, Bruce R. Schatz, Tobun D. Ng, Robin R. Sewell, Kristin M. Tolle

摘要

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

论文关键词:CancerLit, concept spaces, data mining, Hopfield net, information retrieval, Kohonen net, medical knowledge, neural networks

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论文官网地址:https://doi.org/10.1023/A:1006548623067