Integrating Semantic Medical Entity Relations for Disease Prediction Using SNOMED-CT Terminology

Abstract

Methods: In this paper, we propose a novel context-enhanced disease prediction approach based on leveraging semantic and contextual medical entity relations. Patient signs and symptoms are first mapped to SNOMED-CT concepts, which compose a feature space for disease prediction. Our major contributions in this paper consist of expanding the feature space… (More)

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