Ensemble method-based extraction of medication and related information from clinical texts.
Journal:
Journal of the American Medical Informatics Association : JAMIA
Published Date:
Jan 1, 2020
Abstract
OBJECTIVE: Accurate and complete information about medications and related information is crucial for effective clinical decision support and precise health care. Recognition and reduction of adverse drug events is also central to effective patient care. The goal of this research is the development of a natural language processing (NLP) system to automatically extract medication and adverse drug event information from electronic health records. This effort was part of the 2018 n2c2 shared task on adverse drug events and medication extraction.