An application of black hole algorithm and decision tree for medical problem

Keyphrases

• Decision Tree 100%
• Black-box Algorithm 100%
• Medical Problems 100%
• Classification Methods 66%
• Linear Discriminant Analysis 66%
• Matthews Correlation Coefficient 66%
• Classification and Regression Tree 33%
• Heuristic Algorithms 33%
• Radial Basis Function 33%
• Evaluation Model 33%
• Support Vector Machine 33%
• Naïve Bayes 33%
• Functional Trees 33%
• Self-organizing Map 33%
• UCI Machine Learning Repository 33%
• 5-fold Cross Validation 33%
• Methodological Support 33%
• C4.5 33%
• Medical Dataset 33%
• Algorithm C4.5 33%
• Microarray Data 33%
• Decision Tree C5.0 33%
• Function Classification 33%
• C5.0 Decision Tree 33%
• Medical Data Classification 33%
• Decision Tree C4.5 33%
• Correlation Coefficient Measure 33%
• Correlation Errors 33%
• Functional Regression 33%

Computer Science

• Black Holes 100%
• Decision Tree 100%
• Classification Method 50%
• Support Vector Machine 50%
• Linear Discriminant Analysis 50%
• Matthews Correlation Coefficient 50%
• Evaluation Models 25%
• Heuristic Algorithm 25%
• Data Classification 25%
• Regression Tree 25%
• Organizing Map 25%
• Fold Cross Validation 25%
• Radial Basis Function 25%
• Experimental Result 25%
• Validation Method 25%
• Machine Learning 25%
• Learning System 25%

Chemical Engineering

• Learning System 100%
• Support Vector Machine 100%