Annotation of Opioid Use Disorder Entity Modifiers in Clinical Text

Abdullateef I. Almudaifer, Sue S. Feldman, Tobias O'Leary, Whitney L. Covington, JaMor Hairston, Zachary Deitch, Estera Crisan, Kevin Riggs, Lauren Walter, John D. Osborne

Abstract: Natural Language Processing can be used to identify opioid use disorder in patients from clinical text1. We annotate a corpus of clinical text for mentions of concepts associated with unhealthy use of opiates including concept modifiers such as negation, subject, uncertainty, relation to document time and illicit use.