Mark Iscoe, Vimig Socrates, Aidan Gilson, Ling Chi, Huan Li, Thomas Huang, Thomas Kearns, Rachelle Perkins, Laura Khandjian, R Andrew Taylor
BACKGROUND: Natural language processing (NLP) tools including recently developed large language models (LLMs) have myriad potential applications in medical care and research, including the efficient labeling and classification of unstructured text such as electronic health record (EHR) notes. This opens the door to large-scale projects that rely on variables that are not typically recorded in a structured form, such as patient signs and symptoms. OBJECTIVES: This study is designed to acquaint the emergency medicine research community with the foundational elements of NLP, highlighting essential terminology, annotation methodologies, and the intricacies involved in training and evaluating NLP models...
April 3, 2024: Academic Emergency Medicine