Interactive statistical system and method for predicting expert decisions
First Claim
1. A method for generating an expert system comprising the steps of:
- (a) establishing a set of input parameters having input values which define a case situation and establishing a set of output actions in which the relationship between each input parameter and each output action defines a combinatory situation;
(b) establishing a decision making structure formed of linked nodes with specified nodes defining questions;
(c) generating random values to serve as input values defining a first case situation for a first node;
(d) responding by the expert to the questions posed at the first node;
(e) generating a new set of random values to serve as new input values defining a new case situation for the first node;
(f) repeating steps (d) and (e) until a sufficient number of responses having a predetermined statistical significance is achieved for the first node;
(g) generating in turn for each node subsequent to the first node new random values defining a further new case situation biased by a function of a response from a preceding node;
(h) responding by the expert to the questions posed at each subsequent node;
(i) generating a new set of random values as in step (g);
(j) repeating steps (h) and (i) until a sufficient of responses having a predetermined statistical significance is achieved for each of the subsequent nodes.
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Abstract
A system and method for selecting from a set of output actions for combinatory situations such as medical diagnosis defined by a plurality of input parameters. A decision making structure is established by an expert having a plurality of linked nodes. Random values of the input parameters are generated, which includes biasing the random values by a function of a preceding response. The steps are repeated until a sufficient number of responses having a predetermined statistical significance is achieved for each node. After this set up and teaching, the accuracy of the system'"'"'s predictions may be verified against actual responses by the expert. The decision making structure may be interrogated by entering a situation to be analyzed. The path the expert would take through the decision making structure is predicted by determining the probability of the expert'"'"'s response at each node in the structure to arrive at an output action. A plurality of structures may be established, one for each individual expert, allowing interrogation of any or all of the decision making structures.
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Citations
18 Claims
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1. A method for generating an expert system comprising the steps of:
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(a) establishing a set of input parameters having input values which define a case situation and establishing a set of output actions in which the relationship between each input parameter and each output action defines a combinatory situation; (b) establishing a decision making structure formed of linked nodes with specified nodes defining questions; (c) generating random values to serve as input values defining a first case situation for a first node; (d) responding by the expert to the questions posed at the first node; (e) generating a new set of random values to serve as new input values defining a new case situation for the first node; (f) repeating steps (d) and (e) until a sufficient number of responses having a predetermined statistical significance is achieved for the first node; (g) generating in turn for each node subsequent to the first node new random values defining a further new case situation biased by a function of a response from a preceding node; (h) responding by the expert to the questions posed at each subsequent node; (i) generating a new set of random values as in step (g); (j) repeating steps (h) and (i) until a sufficient of responses having a predetermined statistical significance is achieved for each of the subsequent nodes. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13)
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14. A method for selecting from a set of output actions, designated by an expert, for combinatory situations defined by a plurality of input parameters having input values which define a case situation comprising the steps of:
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(a) establishing a decision making structure having a plurality of linked nodes extending from a first node and ending in a terminal node with each node defining a question; (b) entering the input values of the input parameters defining a case situation to be analyzed; (c) determining which input values of the case situation are significant from node to node and predicting which responses the expert would make for the question posed at the first node based on the values of the significant parameters and then predicting the response for the questions posed at each subsequent node, said subsequent nodes forming a path based on the previous responses through the decision making structure; (d) repeating step (c) through the linkages of the nodes until a predicted response is an output action at a terminal node of the decision-making structure; and (e) determining the probability that the expert would have selected the output action predicted in step (d). - View Dependent Claims (15, 16)
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17. A system for selecting from a set of output actions, designated by an expert, for combinatory situations defined by a plurality of input parameters having input values which define a case situation, comprising
means for establishing a decision making structure having a plurality of linked nodes extending from a first node and ending in a terminal node with each node defining a question; -
means for entering input values of the input parameters defining a case situation to be analyzed; means for determining which input values of the case situation are significant from node to node and means for predicting which responses the expert would make for the question posed at the first node based on the values of the significant parameters; means for predicting the response for the questions posed at each subsequent node, said subsequent nodes forming a path based on the previous responses through the decision making structure; means for determining which input values of the case situation are significant from node to node and predicting which responses the expert would make for the question posed at each of the nodes subsequent to said first node based on the values of the significant parameters until a predicted response is an output action at a terminal node of the decision making structure; means for determining the probability that the expert would have selected the output action predicted. - View Dependent Claims (18)
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Specification