An open access medical knowledge base for community driven diagnostic decision support system development.

Journal: BMC medical informatics and decision making
Published Date: Apr 27, 2019

Abstract

INTRODUCTION: While early diagnostic decision support systems were built around knowledge bases, more recent systems employ machine learning to consume large amounts of health data. We argue curated knowledge bases will remain an important component of future diagnostic decision support systems by providing ground truth and facilitating explainable human-computer interaction, but that prototype development is hampered by the lack of freely available computable knowledge bases.

Authors

  • Lars Müller
    Design Lab, UCSD, San Diego, CA, USA.
  • Rashmi Gangadharaiah
    Amazon Web Services, Palo Alto, CA, USA.
  • Simone C Klein
    School of Medicine, UCSD, San Diego, CA, USA.
  • James Perry
    School of Medicine, UCSD, San Diego, CA, USA.
  • Greg Bernstein
    School of Medicine, UCSD, San Diego, CA, USA.
  • David Nurkse
    School of Medicine, UCSD, San Diego, CA, USA.
  • Dustin Wailes
    School of Medicine, UCSD, San Diego, CA, USA.
  • Rishi Graham
    Design Lab, UCSD, San Diego, CA, USA.
  • Robert El-Kareh
    Division of Biomedical Informatics, UCSD, San Diego, CA, USA.
  • Sanjay Mehta
    Division of Infectious Diseases, UCSD, San Diego, CA, USA.
  • Staal A Vinterbo
    Department of Information Security and Communication Technology, Norwegian University of Science and Technology, Trondheim, Norway.
  • Eliah Aronoff-Spencer
    Design Lab, UCSD, San Diego, CA, USA. earonoffspencer@ucsd.edu.

Keywords

External Resources

Popular Topics
Recent Journals