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Table of contents
1 INTRODUCTION
1.1 FOCUS AREA AND MOTIVATION
1.2 AIM AND OBJECTIVES OF THE MASTER’S THESIS
1.3 RESEARCH QUESTIONS
1.4 METHODOLOGY
1.5 DEFINITIONS
1.5.1 Data Mining Process
1.5.2 Diagnosing vs. Data Mining
1.6 OUTLINE
2 RELATED WORK
2.1 APPLICATIONS OF DATA MINING METHODS FOR MEDICAL DIAGNOSIS
2.2 METHODS OF EVALUATION OF EFFECTIVENESS AND ACCURACY OF DATA MINING METHODS
3 PECULIARITY OF MEDICAL DATA
3.1 DIFFERENT TYPES OF MEDICAL DATA
3.2 DOCTOR’S INTERPRETATIONS
3.3 NATURE OF MEDICAL DATA
4 MEDICAL DECISION SUPPORT SYSTEMS
4.1 DIAGNOSING PROCESS VS. DECISION MAKING
4.2 DESCRIPTION OF DECISION SUPPORT SYSTEMS
4.3 CHARACTERISTICS OF MEDICAL DECISION SUPPORT SYSTEMS
4.4 EXAMPLES OF MEDICAL DECISION SUPPORT SYSTEMS
4.4.1 HELP
4.4.2 DXplain
4.4.3 ERA
5 DATA MINING ALGORITHMS
5.1 DECISION TREES
5.2 NAÏVE BAYES
5.3 NEURAL NETWORKS
5.4 SAMPLE ALGORITHMS
5.4.1 ID3
5.4.2 C4.5
6 DESCRIPTION OF DATA SETS USED IN EXPERIMENTS
6.1 SOURCE OF DATA
6.2 DATABASES DETAILS DESCRIPTION
6.2.1 Heart disease database
6.2.2 Hepatitis database
6.2.3 Diabetes database
6.2.4 Dermatology database
6.2.5 Breast cancer database
7 METHODS OF EVALUATION OF DATA MINING ALGORITHMS
7.1 ESTIMATING HYPOTHESIS ACCURACY
7.1.1 Sample error and true error
7.1.2 Difference in error of two hypothesis
7.2 COMPARING LEARNING ALGORITHMS
7.2.1 Difference in algorithms’ errors
7.2.2 Counting the costs
7.2.3 ROC curves
7.2.4 Recall, precision and F-measure
7.3 ALGORITHMS’ PERFORMANCE EVALUATION MEASURES USED IN THE THESIS
8 DATA MINING IN WAIKATO ENVIRONMENT FOR KNOWLEDGE ANALYSIS
8.1 WAIKATO ENVIRONMENT FOR KNOWLEDGE ANALYSIS (WEKA)
8.2 SELECTED WEKA’S DATA MINING ALGORITHMS
8.2.1 C4.5 algorithm
8.2.2 Naïve Bayes
8.2.3 Multilayer Perceptron
8.3 ROC CURVE AND AUC
9 EXPERIMENTS’ RESULTS AND DISCUSSION
9.1 ALGORITHMS CALIBRATION
9.1.1 Diabetes database
9.1.2 Breast cancer database
9.1.3 Hepatitis database
9.1.4 Heart diseases database
9.1.5 Dermatology diseases database
9.2 EVALUATION AND COMPARISON OF THE DATA MINING ALGORITHMS
10 CONCLUSIONS
11 REFERENCES
