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Methods and systems for induction and use of probabilistic patterns to support decisions under uncertainty
Methods and systems for induction and use of probabilistic patterns to support decisions under uncertainty
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机译:不确定性下归纳和使用概率模式来支持决策的方法和系统
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摘要
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.
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