Enhancing Arden-Syntax-Based Clinical Reasoning with Ontologies.

Journal: Studies in health technology and informatics
PMID: 39575810

Abstract

We present a new methodological approach based on integrating Arden-Syntax-based clinical decision support (CDS) with an upstream ontology service. Incoming linguistic patient data, such as single reports about detected germs or viruses, shall be identified by the applied ontology at a low level. Then, higher-level concepts are activated by ontology-based bottom-up reasoning. Access to these high-level concepts is then provided by Arden-Syntax-based CDS. The results suggest promising directions for future enhancements in knowledge-based artificial intelligence.

Authors

  • Moritz Grob
    Medical University of Vienna, Center for Medical Data Science, Institute of Artificial Intelligence, Spitalgasse 23, 1090 Vienna, Austria.
  • Jakob Kainz
    University of Applied Sciences Vienna, Höchstädtplatz 6, 1200 Vienna, Austria.
  • Andreas Csarmann
    Medexter Healthcare, Borschkegasse 7/5, 1090 Vienna, Austria.
  • Andrea Rappelsberger
    Section for Medical Expert and Knowledge-Based Systems, CeMSIIS, Medical University of Vienna, Vienna, Austria.
  • Klaus-Peter Adlassnig
    Section for Medical Expert and Knowledge-Based Systems, CeMSIIS, Medical University of Vienna, Vienna, Austria.

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