Learning to detect and understand drug discontinuation events from clinical narratives.
Journal:
Journal of the American Medical Informatics Association : JAMIA
Published Date:
Oct 1, 2019
Abstract
OBJECTIVE: Identifying drug discontinuation (DDC) events and understanding their reasons are important for medication management and drug safety surveillance. Structured data resources are often incomplete and lack reason information. In this article, we assessed the ability of natural language processing (NLP) systems to unlock DDC information from clinical narratives automatically.