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

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.

Open PDF

Document Details

Document Type
Technical Report
Publication Date
Jan 01, 1999
Accession Number
ADA528329

Entities

People

  • Andrea L. Houston
  • Bruce R. Schatz
  • Hsinchun Chen
  • Kristin M. Tolle
  • Robin R. Sewell
  • Susan M. Hubbard
  • Tubun D. Ng

Organizations

  • University of Arizona

Tags

Communities of Interest

  • Ground and Sea Platforms
  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Algorithms
  • Artificial Intelligence
  • Computational Science
  • Computers
  • Data Analysis
  • Data Mining
  • Electronic Mail
  • Health Care
  • Human-Computer Interaction
  • Information Retrieval
  • Information Science
  • Information Systems
  • Internet
  • Machine Learning
  • Neural Networks
  • Self Organizing Systems
  • Statistical Analysis

Fields of Study

  • Computer science

Readers

  • Agent-Based Social Robotics and Mobile-Assisted Learning in Virtual Environments.
  • Neural Network Machine Learning.
  • Research Science/Academic Research

Technology Areas

  • AI & ML
  • AI & ML - Information Retrieval