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Automated Critiquing of Medical Decision Trees

Author

Listed:
  • Michael P. Wellman
  • Mark H. Eckman
  • Craig Fleming
  • Sharon L. Marshall
  • Frank A. Sonnenberg
  • Stephen G. Pauker

Abstract

The authors developed a decision tree-critiquing program (called BUNYAN) that identifies potential modeling errors in medical decision trees. The program's critiques are based on the structure of a decision problem, obtained from an abstract description specifying only the basic semantic categories of the model's components. A taxonomy of node and branch types supplies the primitive building blocks for representing decision trees. BUNYAN detects potential problems in a model by matching general pattern expressions that refer to these primitives. A small set of general principles justifies critiquing rules that detect four categories of potential structural problems: impossible strategies, dominated strategies, unaccountable violations of symmetry, and omission of apparently reasonable strategies. Although critiquing based on structure alone has clear limitations, principled structural analysis constitutes the core of a methodology for reasoning about decision models. Key words: decision trees; computer-assisted critiquing. (Med Decis Making 1989;9:272-284)

Suggested Citation

  • Michael P. Wellman & Mark H. Eckman & Craig Fleming & Sharon L. Marshall & Frank A. Sonnenberg & Stephen G. Pauker, 1989. "Automated Critiquing of Medical Decision Trees," Medical Decision Making, , vol. 9(4), pages 272-284, December.
    • Handle: RePEc:sae:medema:v:9:y:1989:i:4:p:272-284
    DOI: 10.1177/0272989X8900900407
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    References listed on IDEAS

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    1. Curtis P. Langlotz & Edward H. Shortliffe & Lawrence M. Fagan, 1988. "A Methodology for Generating Computer-based Explanations of Decision-theoretic Advice," Medical Decision Making, , vol. 8(4), pages 290-303, December.
    2. Ross D. Shachter, 1986. "Evaluating Influence Diagrams," Operations Research, INFORMS, vol. 34(6), pages 871-882, December.
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    Cited by:

    1. Stephen G. Pauker & John B. Wong, 2005. "The Influence of Influence Diagrams in Medicine," Decision Analysis, INFORMS, vol. 2(4), pages 238-244, December.

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