Methods and systems for induction and use of probabilistic patterns to support decisions under uncertainty
First Claim
1. A method for the induction and use of probabilistic patterns to support a decision under uncertainty, the method comprising:
- generating at least one probabilistic pattern of the form B(x)→
C based on data for cases with known classification, where B(x) comprises at least one condition on a variable and C comprises an outcome;
generating pattern-coded data for the cases with known classification and for another case, by evaluating the data for the cases with known classification and data for the other case with the at least one probabilistic pattern; and
using the pattern-coded data to classify the other case.
3 Assignments
0 Petitions
Accused Products
Abstract
Methods and systems are provided for the induction and use of probabilistic patterns in data to support decisions under uncertainty. In an aspect, the proposed approach both suggests a decision and justifies the suggestion in a convenient form for an end-user (e.g., a physician). At least one probabilistic pattern of the form B(x)→C may be generated based on data for cases with known classification. Pattern-coded data may be generated for the known cases and for another case (e.g., a test case or a new case), by evaluating the data for the known cases and other case with the at least one probabilistic pattern. A classification decision may be made for the test case by subjecting the pattern-coded data to, for example, an ordering and ranking procedure or a voting procedure. Because the probabilistic patterns are readily interpretable, the end-user can verify the validity of both the patterns and the decision.
19 Citations
24 Claims
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1. A method for the induction and use of probabilistic patterns to support a decision under uncertainty, the method comprising:
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generating at least one probabilistic pattern of the form B(x)→
C based on data for cases with known classification, where B(x) comprises at least one condition on a variable and C comprises an outcome;
generating pattern-coded data for the cases with known classification and for another case, by evaluating the data for the cases with known classification and data for the other case with the at least one probabilistic pattern; and
using the pattern-coded data to classify the other case. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8)
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9. A method for using probabilistic patterns to support a decision under uncertainty, the method comprising:
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generating pattern-coded data for a case by evaluating if feature data for the case satisfies the premise B(x) of at least one probabilistic pattern of the form B(x)→
C, wherein C comprises an outcome; and
classifying the case according to the pattern-coded dataset. - View Dependent Claims (10, 11)
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12. A system for the induction and use of probabilistic patterns to support a decision under uncertainty, the system comprising processing circuitry configured to:
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generate at least one probabilistic pattern of the form B(x)→
C based on data for cases with known classification, where B(x) comprises at least one condition on a variable and C comprises an outcome;
generate pattern-coded data for the cases with known classification and for another case, by evaluating the data for the cases with known classification and data for the other case with the at least one probabilistic pattern; and
use the pattern-coded data to classify the other case. - View Dependent Claims (13, 14, 15, 16, 17, 18, 19)
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20. A system for predicting an outcome for a case, the system comprising processing circuitry configured to:
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generate pattern-coded data for a case by evaluating if feature data for the case satisfies the premise B(x) of at least one probabilistic pattern of the form B(x)→
C, wherein C comprises an outcome; and
classifying the case according to the pattern-coded dataset. - View Dependent Claims (21, 22)
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23. Computer-readable medium encoded with computer program instructions for performing the method comprising:
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generating at least one probabilistic pattern of the form B(x)→
C based on data for cases with known classification, where B(x) comprises at least one condition on a variable and C comprises an outcome;
generating pattern-coded data for the cases with known classification and for another case, by evaluating the data for the cases with known classification and data for the other case with the at least one probabilistic pattern; and
using the pattern-coded data to classify the other case. - View Dependent Claims (24)
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Specification