Statements in which the resource exists.
SubjectPredicateObjectContext
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pubmed-article:2796635pubmed:dateCreated1989-11-17lld:pubmed
pubmed-article:2796635pubmed:abstractTextThe 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.lld:pubmed
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pubmed-article:2796635pubmed:statusMEDLINElld:pubmed
pubmed-article:2796635pubmed:issn0272-989Xlld:pubmed
pubmed-article:2796635pubmed:authorpubmed-author:PaukerS GSGlld:pubmed
pubmed-article:2796635pubmed:authorpubmed-author:FlemingCClld:pubmed
pubmed-article:2796635pubmed:authorpubmed-author:EckmanM HMHlld:pubmed
pubmed-article:2796635pubmed:authorpubmed-author:SonnenbergF...lld:pubmed
pubmed-article:2796635pubmed:authorpubmed-author:MarshallS LSLlld:pubmed
pubmed-article:2796635pubmed:authorpubmed-author:WellmanM PMPlld:pubmed
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pubmed-article:2796635pubmed:volume9lld:pubmed
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pubmed-article:2796635pubmed:authorsCompleteYlld:pubmed
pubmed-article:2796635pubmed:pagination272-84lld:pubmed
pubmed-article:2796635pubmed:dateRevised2007-11-14lld:pubmed
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pubmed-article:2796635pubmed:articleTitleAutomated critiquing of medical decision trees.lld:pubmed
pubmed-article:2796635pubmed:affiliationClinical Decision Making Group MIT Laboratory for Computer Science, Cambridge, Massachusetts.lld:pubmed
pubmed-article:2796635pubmed:publicationTypeJournal Articlelld:pubmed
pubmed-article:2796635pubmed:publicationTypeResearch Support, U.S. Gov't, P.H.S.lld:pubmed
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