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Extracting Qualitative Knowledge from Medical Guidelines for Clinical Decision-Support Systems

  • Maarten van der Heijden
  • Peter J. F. Lucas
Part of the Lecture Notes in Computer Science book series (LNCS, volume 5943)

Abstract

Medical guidelines provide knowledge about processes that is not directly suitable for building clinical decision-support systems. We discuss a two-step approach where knowledge from a guideline on COPD is translated into temporal logic, and augmented with physiological background knowledge. This allows capturing the dynamics of the processes using qualitative knowledge, while maintaining the temporal nature of the processes. As a second step, this represented clinical knowledge is translated into a decision-theoretic framework. We thus present a representation that can act as a basis for the construction of a decision-support system concerning monitoring of COPD.

Keywords

Bayesian Network Temporal Logic Description Logic Logic Representation Medical Guideline 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2010

Authors and Affiliations

  • Maarten van der Heijden
    • 1
    • 2
  • Peter J. F. Lucas
    • 1
  1. 1.Institute for Computing and Information SciencesRadboud University NijmegenThe Netherlands
  2. 2.Department of Primary and Community CareRadboud University Nijmegen Medical CentreThe Netherlands

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