Information Adapted Machine Learning Models for Prediction in Clinical Workflow.

Journal: Studies in health technology and informatics
Published Date: Jan 1, 2019

Abstract

BACKGROUND: In a database of electronic health records, the amount of available information varies widely between patients. In a real-time prediction scenario, a machine learning model may receive limited information for some patients.

Authors

  • Stefanie Jauk
    CBmed, Graz, Austria.
  • Diether Kramer
    Steiermärkische Krankenanstaltengesellschaft m.b.H. (KAGes), Graz, Austria.
  • Franz Quehenberger
    Institute for Medical Informatics, Statistics and Documentation, Medical University of Graz, Austria.
  • Sai Pavan Kumar Veeranki
    AIT Austrian Institute of Technology, Graz, Austria.
  • Dieter Hayn
    AIT Austrian Institute of Technology.
  • Günter Schreier
    AIT Austrian Institute of Technology, Austria.
  • Werner Leodolter
    Steiermärkische Krankenanstaltengesellschaft m.b.H. (KAGes), Graz, Austria.

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