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