Breast Cancer Auxiliary Diagnosis Combining Case-Based Reasoning and Classifiers

声明

Acknowledgements

ABSTRACT

摘要

Table of Contents

Chapter 1 Introduction

1．1 Background

1．2 Problem Statement

1．3 Situation in Mozambique and China

1．4 Research Structure

Chapter 2 Literature Review

2．1 Breast Cancer Overview

2．2 Case-Based Reasoning(CBR)in healthcare

2．2．1 CBR in Bfeast Cancer

2．2．2 Case retrieval methods in CBR

Chapter 3 Proposed Conceptual Design and Model Implementation

3．1 Data Exploration

3．2 Descriptive Model(Phase Ⅰ)

3．2．1 Na?ve Bayes

3．2．2 Estimator in Na?ve Bayes

3．2．3 Model Building

3．2．2 J48 Decision trees Classifier

3．2．3 K-NN Classifier

3．3 K-NN based CBR Retrieval(Phase Ⅱ)

3．3．1 Nearest Neighbor Classifiers

3．3．2 Indices／Indexing

3．3．3 Case retrieval

3．3．4 Case Adoption

Chapter 4 Results and Discussion

4．1 Data Preproeessing

4．1．1 Dimensionality reduction／Feature subset selection

4．1．2 Discretization and Binarization

4．1．3 Variable transformation

4．1．4 Feature Creation

4．2 Phase Ⅰ

4．2．1 Evaluation

4．2．2 Comparative Performance Anaiysis of the Classifiers

4．3 Phase Ⅱ

4．3．1 Evaluation performance of K-NN

4．2．2 CBR retrieval results

Chapter 5 Conclusion

5．1 Overall Summary

5．2 Limitations

5．3 Future Research

References

List of Academic Activities and Achievements duringthe Degree