Automatic ICD-10 classification of cancers from free-text death certificates
A method for extractly cancer mortality statistics from death certificates is shown. Detailed features (terms and medical concepts) are extracted from death certificates. These are used to train Support Vector Machines that classify according to ICD-10. Evaluation shows the system effectiveness and reveals factors influencing effectiveness. The system allows monitoring cancer mortality in a timely and accurate manner.
death certificates cancer classification machine learning natural language processing