Cross-registry neural domain adaptation to extract mutational test results from pathology reports

Computer Science

• Domain Adaptation 100%
• Neural Network 57%
• Machine Learning 28%
• Learning Method 28%
• Standards 14%
• Performance Improvement 14%
• Collected Data 14%
• Use Case 14%
• Generalization 14%
• Classification (Machine Learning) 14%
• Unlabeled Data 14%
• Unlabeled Example 14%
• Supervised Classification 14%

Medicine and Dentistry

• Adaptation 100%
• Cancer Registry 85%
• Pathology 42%
• Learning 28%
• Motivation 14%
• Cancer Research 14%
• Surveillance System 14%
• Cancer Epidemiology 14%
• Non Small Cell Lung Cancer 14%
• Epidermal Growth Factor Receptor 14%

Biochemistry, Genetics and Molecular Biology

• Adaptation 100%
• Cancer Registry 85%
• Extract 42%
• Learning 28%
• Mutation 14%
• Motivation 14%
• Classification 14%
• Epidermal Growth Factor Receptor 14%
• Extraction 14%