Improving Breast Cancer Research Through Automated Matching of Patients to Clinical Trials

Abstract

A Web based prototype intelligent agent/expert system for matching breast cancer patients to clinical trials has been built. It allows for cost preferences to be entered. Therefore, the system user can choose to rule patients out of trials as quickly as possible without regard to the cost of tests necessary to do this. They can choose have questions appear so that the patient is ruled out of the trial with the minimal set of costs (tests) or can choose some combination of approaches. The system has been tested with seven protocols and designed for maximal responsiveness and scalability as new protocols are added. The files of 146 former patients have been used to test the accuracy of the system. Patients for each of the seven protocols were correctly found eligible for one or more trials.

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Document Details

Document Type
Technical Report
Publication Date
Aug 01, 2001
Accession Number
ADA396620

Entities

People

  • Dmitry B. Goldgof
  • Jeffrey P Krischer
  • Lawrence O. Hall

Organizations

  • University of South Florida

Tags

DTIC Thesaurus Topics

  • Abstracts
  • Biomedical Research
  • Breast Cancer
  • Cancer
  • Clinical Trials
  • Computer Programs
  • Computers
  • Electronic Mail
  • Expert Systems
  • Inclusions
  • Information Operations
  • Instructions
  • Intelligent Agents
  • Neoplasms
  • Physicians
  • Prototypes
  • User Interface

Fields of Study

  • Medicine

Readers

  • Applied Combinatorial Optimization and Logic Circuit Design.
  • Computer Networking
  • Oncology