MammoNet: a Bayesian Network Diagnosing Breast Cancer

The following sections are included:

• Introduction

• Bayesian Networks

  • Probability Notation

    • Conditional Probability

    • Joint Probability

  • Benefits of Bayesian Networks

• Breast Cancer Problem Overview

  • Risk Factors and Physical Symptoms

  • Mammographic Findings

    • Direct Mammographic Findings: Mass Analysis

    • Direct Mammographic Findings: Calcification Analysis

    • Indirect Mammographic Findings

• MammoNet: Bayesian Network Diagnostic Tool for Breast Cancer

  • MammoNet Network Topology

    • MammoNet Network Terminology

    • MammoNet Data Acquisition

  • MammoNet Demographic Features

    • Demographic Feature: Age

    • Demographic Feature: Age of Menarche

    • Demographic Feature: Child Bearing Age

    • Demographic Feature: Number of First Degree Relatives with History of Breast Cancer

    • Demographic Feature: Previous Biopsy at Same Site

  • MammoNet Hypothesis Node

  • MammoNet Physical Examination Symptoms

  • MammoNet Mammographic Indirect Findings

  • MammoNet Mammographic Direct Indications

    • Mammographic Direct Indication: Mass

    • Mammographic Direct Indications: Calcifications

• Decision Support System

  • System Architecture

    • User Interface

    • Knowledge Representation Module

    • Multimodal Discourse Module

    • Bayesian Network Inference Engine

• Results

• Conclusion

• Acknowledgments

• References