Cross-validation and cross-study validation of kidney cancer with machine learning and whole exome sequences from the National Cancer Institute

Agriculture & Biology

• kidney neoplasms 100%
• artificial intelligence 69%
• carcinoma 46%
• neoplasms 44%
• renal cell carcinoma 23%
• kidneys 20%
• somatic mutation 19%
• support vector machines 18%
• kidney cells 15%
• quality control 13%
• medicine 12%
• case studies 12%
• sampling 10%
• prediction 9%
• genomics 9%

Medicine & Life Sciences

• National Cancer Institute (U.S.) 67%
• Machine Learning 65%
• Kidney Neoplasms 65%
• Validation Studies 64%
• Single Nucleotide Polymorphism 48%
• Kidney 13%
• Datasets 13%
• Carcinoma 11%
• Papillary Carcinoma 10%
• Support Vector Machine 10%
• Genomics 8%
• Quality Control 8%
• Renal Cell Carcinoma 8%
• Sample Size 7%
• Case-Control Studies 6%
• Medicine 6%
• Mutation 4%
• Neoplasms 2%

Engineering & Materials Science

• Machine learning 42%
• Cells 37%
• Genomics 20%
• Medicine 19%
• Quality control 18%
• Support vector machines 15%
• Feature extraction 14%