Machine Learning Based Risk Prediction for Major Adverse Cardiovascular Events for ELGA-Authorized Clinics1.

Journal: Studies in health technology and informatics
Published Date:

Abstract

BACKGROUND: Artificial Intelligence (AI) has had an important impact on many industries as well as the field of medical diagnostics. In healthcare, AI techniques such as case-based reasoning and data driven machine learning (ML) algorithms have been used to support decision-making processes for complex tasks. This is used to assist medical professionals in making clinical decisions. A way of supporting clinicians is providing predicted prognoses of various ML models.

Authors

  • Seda Polat Erdeniz
    Steiermärkische Krankenanstaltengesellschaft m.b.H., Graz, Austria.
  • Diether Kramer
    Steiermärkische Krankenanstaltengesellschaft m.b.H. (KAGes), Graz, Austria.
  • Michael Schrempf
    Steiermärkische Krankenanstaltengesellschaft m. b. H., Graz, Austria.
  • Peter P Rainer
    Medical University of Graz, Graz, Austria.
  • Alexander Felfernig
    Graz University of Technology, Graz, Austria.
  • Trang N T Tran
    Graz University of Technology, Graz, Austria.
  • Tamim Burgstaller
    Graz University of Technology, Graz, Austria.
  • Sebastian Lubos
    Graz University of Technology, Graz, Austria.