Repairing fractures between data using genetic programming-based feature extraction: A case study in cancer diagnosis

Keyphrases

• Cancer Diagnosis 100%
• In Cancer 100%
• Feature Extraction 100%
• Genetic Programming 100%
• Underlying Assumptions 50%
• Model Building 50%
• Biological Variation 50%
• Good Behavior 50%
• Biological Data 50%
• Unseen 50%
• Benchmark Problems 50%
• Prostate Cancer Screening 50%
• Classification Performance 50%
• Bad Behavior 50%
• Machine Learning Approach 50%
• Genetics-based Machine Learning 50%
• Data Distribution 50%
• Real-world Problems 50%
• Building Process 50%
• Uncontrollable Variables 50%

Computer Science

• Case Study 100%
• Genetic Programming 100%
• Feature Extraction 100%
• Real-World Problem 50%
• Classification Performance 50%
• Underlying Assumption 50%
• Benchmark Problem 50%
• Machine Learning-Based Approach 50%
• Data Distribution 50%

Chemical Engineering

• Learning System 100%