An ontological representation of adverse drug events Conference Paper uri icon

Overview

MeSH Major

  • Cardiovascular Diseases
  • Data Mining
  • Decision Support Techniques
  • Electronic Health Records

abstract

  • A standardized, controlled vocabulary allows adverse drug events (ADE) information to be described in an unambiguous way in knowledge bases, which is critical for clinical decision support systems for patient medication safety. In this paper, we describe our preliminary effort on development of an ontological representation pattern for the ADE domain. We discuss clinical implications of the effort and potential challenges on its integration with existing data standards.

publication date

  • December 2011

Research

keywords

  • Conference Paper

Additional Document Info

start page

  • 329

end page

  • 331

volume

  • 833