A novel local learning based approach with application to breast cancer diagnosis

Keyphrases

• Learning-based 100%
• Breast Cancer Diagnosis 100%
• Local Learning 100%
• Population Groups 50%
• Learning Methods 50%
• Population Clustering 50%
• Partition Plan 50%
• Linear Logistic Regression 50%
• Publicly Available 25%
• Computational Efficiency 25%
• Large Collection 25%
• Machine Learning Techniques 25%
• Web Search 25%
• Performance Advantage 25%
• Biopsy-proven 25%
• Statistical Significance 25%
• Logistic Regression Model 25%
• Clustering Scheme 25%
• Multi-population 25%
• Searching Process 25%
• Clinical Datasets 25%
• Data Relationship 25%
• BI-RADS 25%
• Population Partitions 25%
• Latent Relationships 25%
• Mammographic Features 25%
• Methodological Basis 25%
• Breast Biopsy 25%

Computer Science

• Machine Learning 100%
• Logistic Regression 100%
• Computational Efficiency 100%
• Logistic Regression Model 100%
• Clustering Scheme 100%
• Searching Process 100%
• Underlying Data 100%
• Data Relationship 100%

Mathematics

• Population Subgroup 100%
• Apply It 50%
• Statistical Significance 50%
• Logistic Regression 50%
• Searching Process 50%
• Logistic Regression Model 50%
• Biopsy Result 50%