Recommending tests in a multimembership Bayesian diagnostic expert system

A computerized test selection module for a multimembership Bayesian diagnostic expert system built to recommend tests to further refine the differential diagnosis is described. The output of the program includes recommendations for individual tests, for groups of tests to be administered in sequence, and for groups of parallel tests. The original set of available tests is large. This generates a large number of groups of tests, any of which could possibly provide the most valuable information. Selection of the proper subset of tests from the original set is critical. A smaller proper subset of tests improves the systems response time by avoiding unnecessary calculation.<
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