Identifying recurrent breast cancer patients in national health registries using machine learning

Keyphrases

• Breast Cancer Patients 100%
• Breast Cancer 100%
• Breast Cancer Recurrence 100%
• National Health Registry 100%
• Machine Learning 100%
• Machine Learning Models 100%
• Patient Data 66%
• Validation Sample 66%
• ROC-AUC 66%
• Coding Scheme 66%
• Denmark 33%
• Patient's Will 33%
• National Registry 33%
• Pathology Database 33%
• Data Completeness 33%
• Inappropriate Treatment 33%
• Data Interpretation 33%
• Invasive Breast Cancer 33%
• Breast Cancer Diagnosis 33%
• Patient Identification 33%
• National Patient Registry 33%
• Definitive Surgery 33%
• Non-recurrent 33%
• Automated Identification 33%

Computer Science

• Machine Learning 100%
• Cancer Patient 100%
• Encoding Scheme 50%
• Data Interpretation 25%
• Store Information 25%

Biochemistry, Genetics and Molecular Biology

• Patient Coding 100%
• Patient Registry 50%