MADEx: A System for Detecting Medications, Adverse Drug Events, and Their Relations from Clinical Notes.
Journal:
Drug safety
Published Date:
Jan 1, 2019
Abstract
INTRODUCTION: Early detection of adverse drug events (ADEs) from electronic health records is an important, challenging task to support pharmacovigilance and drug safety surveillance. A well-known challenge to use clinical text for detection of ADEs is that much of the detailed information is documented in a narrative manner. Clinical natural language processing (NLP) is the key technology to extract information from unstructured clinical text.