Automated detection of sudden unexpected death in epilepsy risk factors in electronic medical records using natural language processing

Abstract

Regular expressions are a feasible and probably a generalizable method to identify variables related to SUDEP risk. Our methods may be implemented to create large patient cohorts for research and to generate electronic prompts for SUDEP counseling.