A value-theoretic expert system for evaluating randomized clinical trials
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abstract: Multiattribute value theory (MVT) provides a formal approach to evaluating populations of similar alternatives. In this paper, we illustrate the employment of MVT in the context of medical expert systems by describing RCTE, a prototype applicaiton for performing comparative analyses of randomized clinical trials (RCTs). RCTE employs MVT to evaluate the relative merits of RCTs, and implements techniques from interpretive value analysis to explain such evaluations automatically. Although experimental, our approach suggests that MVT potentially provides a basis for evaluating the relative merits of similar alternatives in medical expert systems.
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| Abstract | Multiattribute value theory (MVT) provides … Multiattribute value theory (MVT) provides a formal approach to evaluating populations of similar alternatives. In this paper, we illustrate the employment of MVT in the context of medical expert systems by describing RCTE, a prototype applicaiton for performing comparative analyses of randomized clinical trials (RCTs). RCTE employs MVT to evaluate the relative merits of RCTs, and implements techniques from interpretive value analysis to explain such evaluations automatically. Although experimental, our approach suggests that MVT potentially provides a basis for evaluating the relative merits of similar alternatives in medical expert systems. ar alternatives in medical expert systems. |
| Address | Washington DC + |
| Author | David A. Klein +, Harold P. Lehmann +, and Edward H. Shortliffe + |
| Bibtype | techreport + |
| Institution | Knowledge Systems, AI Laboratory + |
| Key | KSL-90-20 + |
| Number | KSL-90-20 + |
| Tag | Computer science + |
| Title | A Value-Theoretic Expert System for Evaluating Randomized Clinical Trials + |
| Tr id | KSL-90-20 + |
| Year | 1990 + |
