As a guest user you are not logged in or recognized by your IP address. You have
access to the Front Matter, Abstracts, Author Index, Subject Index and the full
text of Open Access publications.
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 Walters, John D. Osborne
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.
This website uses cookies
We use cookies to provide you with the best possible experience. They also allow us to analyze user behavior in order to constantly improve the website for you. Info about the privacy policy of IOS Press.
This website uses cookies
We use cookies to provide you with the best possible experience. They also allow us to analyze user behavior in order to constantly improve the website for you. Info about the privacy policy of IOS Press.
loading subjects...
