A Computer-Based Decision Support System for Breast Cancer Diagnosis

Abstract

The optimal goal of this project is to develop decision support systems for breast cancer diagnosis, treatment option, prognosis, and risk prediction. The primary goal for the first year is to develop visual presentation methods for the consultation system. We have developed an automated and intelligent procedure for generating the hierarchy of minimax entropy models and principal component visualization spaces for improving data explanation. The proposed model is both statistically principled and visually effective at revealing all of the interesting aspects of the data set. The methods involve multiple use of standard finite normal mixture models and probabilistic principal component projections, whose parameters are estimated using expectation-maximization algorithm and principal component neural networks under the information theoretic criteria.

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Document Details

Document Type
Technical Report
Publication Date
Sep 01, 1999
Accession Number
ADA384615

Entities

People

  • Lan Luo

Organizations

  • The Catholic University of America

Tags

Communities of Interest

  • Human Systems

DTIC Thesaurus Topics

  • Algorithms
  • Artificial Intelligence
  • Breast Cancer
  • Computers
  • Data Mining
  • Data Sets
  • Data Visualization
  • Decision Support Systems
  • Detection
  • Dimensionality Reduction
  • Hierarchies
  • Information Science
  • Information Systems
  • Machine Learning
  • Neoplasms
  • Neural Networks
  • Three Dimensional

Fields of Study

  • Computer science

Readers

  • Computational Modeling and Simulation
  • Image Processing and Computer Vision.
  • Systems Analysis and Design

Technology Areas

  • AI & ML
  • AI & ML - Machine Learning Algorithms
  • Space