A personalized committee classification approach to improving prediction of breast cancer metastasis

Medicine and Dentistry

• Breast Cancer 100%
• Patient 100%
• Metastatic Carcinoma 66%
• Diseases 16%
• Athletic Training 16%
• Cancer Research 16%
• Edoxudine 16%
• Gene 16%
• Accuracy 16%
• Ambiguity 16%

Computer Science

• Predictive Model 50%
• Prediction Accuracy 16%
• Availability 16%
• Training Data 16%
• Molecular Mechanism 16%
• Popular Approach 16%
• Individual Patient 16%
• Bioinformatics 16%
• Classification 16%
• Validation Dataset 16%
• Source Codes 16%
• Cancer Patient 16%

Biochemistry, Genetics and Molecular Biology

• Gene Signature 16%
• Bioinformatics 16%
• Classification 16%
• SEQUEST 16%
• Training 16%
• Accuracy 16%
• Ambiguity 16%