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Method for knowledge acquisition for diagnostic bayesian networks

  • US 6,456,622 B1
  • Filed: 03/03/1999
  • Issued: 09/24/2002
  • Est. Priority Date: 03/03/1999
  • Status: Expired due to Term
First Claim
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1. A method for efficient construction and use of a decision support system, the method comprising the following steps:

  • (a) storing in a memory of a computing system a Bayesian network as a tree structure having leaf nodes which have no parent nodes and other nodes which have parent nodes, each node for the tree structure representing a variable;

    (b) for each node that has a plurality of parent nodes, developing knowledge acquisition questions that when answered will indicate conditional probability for each parent node given one of the plurality of parent nodes is in a positive state, including the following substeps;

    (b.1) when developing knowledge acquisition questions, assuming that for each node one and only one variable represented by the plurality of parent nodes will be in a positive state, (b.2) storing the knowledge acquisition questions along with the Bayesian network;

    (c) obtaining answers to a subset of the knowledge acquisition questions, and (d) calculating prior marginal probabilities for each leaf node based on conditional probabilities obtained from the answers to the subset of the knowledge acquisition questions, the answers being used in constructing the Bayesian network (e) supporting, by the decision support system, decision making by a user, including the following substep;

    using the Bayesian network by the decision support system when supporting decision making by the user.

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