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Writing habits and telltale neighbors: analyzing clinical concept usage patterns with sublanguage embeddings

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Academic year: 2020

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Figure

Figure 1: Distribution of self-consistency rates (i.e., overlap in nearest neighbors between replicate embeddings ofthe same concept) among MIMIC document types.
Figure 2:Comparison of concept neighborhood consistency statistics across document types, using high-confidence concepts from the reference type
Figure 3: Concept neighborhood consistency statistics, restricted to concepts that are high-confidence in bothreference and comparison sets
Table 2: 5 nearest neighbor concepts to Diabetes Mellitustypes, averaging cosine similarities across all replicate embedding sets within each document type.nearest neighbors to and Mental state from 3 high-confidence document †The two Mental state for all three document types were two LOINC codes using the same “mentalstatus” string; they are omitted here for brevity.
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