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dc.contributor.advisorSzolovits, Peteren_US
dc.contributor.authorLeong, Tze-Yunen_US
dc.date.accessioned2023-03-29T15:17:49Z
dc.date.available2023-03-29T15:17:49Z
dc.date.issued1991-06
dc.identifier.urihttps://hdl.handle.net/1721.1/149706
dc.description.abstractClinical 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.en_US
dc.relation.ispartofseriesMIT-LCS-TR-504
dc.titleKnowledge Representation for Supporting Decision Model Formulation in Medicineen_US
dc.identifier.oclc24063266


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