A practical guide to designing expert systems
A practical guide to designing expert systems
Heuristics: intelligent search strategies for computer problem solving
Heuristics: intelligent search strategies for computer problem solving
A method for managing evidential reasoning in a hierarchical hypothesis space
Artificial Intelligence
Artificial Intelligence
Optimizing decision trees through heuristically guided search
Communications of the ACM
SEEK2: a generalized approach to automatic knowledge base refinement
IJCAI'85 Proceedings of the 9th international joint conference on Artificial intelligence - Volume 1
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An approach to finding an optimal solution for an important diagnostic problem is described. Examples are taken from laboratory medicine, where the problem can be stated as finding the best combination of tests for making a diagnosis. These tests are typically numerical with unknown decision thresholds. Because of uncertainty in classification, the solution is described in terms of maximizing measures of decision rule performance on a data base of cases, for example maximizing positive predictive value, subject to a constraint of a minimum sensitivity. The resultant rules are quite similar to classifi cation production rules, and the procedures described should be valid for many knowledge acquisition and refinement tasks. The solution is found by a heuristic search procedure, and empirical results for several data bases and published studies are described.