Developing and Implementing the AJCC Prognostic System for Breast Cancer.

Abstract

Accurate survival prediction is important for women with breast cancer because a woman's expected survival determines her therapy, provides her with vital outcome information, and is one of the main selection criteria for entry into new therapy clinical trials. For almost forty years breast cancer outcome prediction has been based on the TNM staging system. This system it is relatively inaccurate, its accuracy continues to decline as screening increases the early detection of breast cancer, and its accuracy cannot be significantly improved. The objective of this research program is to replace the TNM staging system with a computer-based clinical decision support system that provides the most accurate survival predictions possible for women with breast cancer.

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Document Details

Document Type
Technical Report
Publication Date
Aug 01, 1997
Accession Number
ADA346598

Entities

People

  • Philip H. Goodman

Organizations

  • University of Nevada, Reno

Tags

Communities of Interest

  • Energy and Power Technologies

DTIC Thesaurus Topics

  • Biomedical Research
  • Breast Cancer
  • Computers
  • Data Analysis
  • Databases
  • Decision Support Systems
  • Detection
  • Diseases And Disorders
  • Health Services
  • Information Processing
  • Information Systems
  • Medical Personnel
  • Neoplasms
  • Neural Networks
  • Physicians
  • Therapy

Readers

  • Computational Modeling and Simulation
  • Oncology and Biomarker-Based Cancer Detection.