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In this paper, we present a problem that we refer to as Medical Concept Resolution for finding concept identifiers in a large knowledge base, given medical terms mentioned in a text. We define the problem with its unique features and novel algorithms to address it. We compare performance to MetaMap and find distinct and complementary behavior.
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