Electrical Impedance Imaging for Early Detection of Breast Cancer for Young Women

Abstract

The Electrical Impedance Scanning (EIS) Breast Cancer Study focuses on evaluating a new technology, electrical impedance scanning (EIS), as a tool for identifying women; who, because of breast tissue changes, are also at elevated risk of developing breast cancer, and who, thereby, would benefit from increased surveillance and the initiation of early breast imaging. The specific aim of this effort is to develop a finally Bayesian Belief Network (BBN) classification model to estimate the interval risk of malignancy and pre-malignancy in young women. A selected wound outcomes dataset, including cytokine and chemokine data will be analyzed to construct a series of predictive models. These models were cross-validated for statistical significance and interpreted for clinical significance.

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Document Details

Document Type
Technical Report
Publication Date
Dec 01, 2013
Accession Number
ADA597983

Entities

People

  • Alexander Stojadinovic

Organizations

  • Henry M. Jackson Foundation for the Advancement of Military Medicine

Tags

Communities of Interest

  • Biomedical
  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Algorithms
  • Biomedical Research
  • Breast Cancer
  • Cancer
  • Classification
  • Data Curation
  • Data Sets
  • Database Management Systems
  • Databases
  • Drug Therapy
  • Electrical Impedance
  • Impedance
  • Information Science
  • Machine Learning
  • Neoplasms
  • Predictive Modeling
  • Scanning

Fields of Study

  • Medicine

Readers

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

Technology Areas

  • AI & ML
  • AI & ML - Bayesian Inference