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Knowledge Representation for Supporting Decision Model Formulation in Medicine

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MIT-LCS-TR-504.pdf

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Author(s)
Leong, Tze-Yun
Advisor(s)
Szolovits, Peter
Date Issued
June 1991
Series/Report no.
MIT-LCS-TR-504
Abstract
Clinical decision making involves a large, complex, and ever-changing body of knowledge. Characterizing such knowledge illuminates the representational and computational requirements for automated clinical decision analysis.
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