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Fig. 2 | BMC Medical Informatics and Decision Making

Fig. 2

From: Using data-driven sublanguage pattern mining to induce knowledge models: application in medical image reports knowledge representation

Fig. 2

Co-occurrence network of top 40 semantic types (subgraph). The thickness of the edge demonstrates weight (the number of co-occurrence incidences); a thicker edge means more co-occurrence incidences exist in the relation. The size of the nodes indicates connectivity (the number of other nodes connected to it). The network graph represents the complexity of the semantic co-occurrence pattern of semantic types in imaging notes

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BMC Medical Informatics and Decision Making

ISSN: 1472-6947

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