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Article

Evaluating Semantic Similarity Methods for Comparison of Text-derived Phenotype Profiles

2021-08-09

Abstract excerpt

Semantic similarity is a valuable tool for analysis in biomedicine. When applied to phenotype profiles derived from clinical text, they have the capacity to enable and enhance ‘patient-like me’ analyses, automated coding, differential diagnosis, and outcome prediction, by leveraging the wealth of background knowledge provided by biomedical ontologies. While a large body of work exists exploring the use of semantic...

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Identifiers and source

Literature Corpus work
4a439e15-da97-53d0-8f9f-ae2e7e09879d
DOI
10.1101/2021.08.08.21261762
Open publication

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Semantic proximity does not establish scientific evidence.

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Evaluating Semantic Similarity Methods for Comparison of Text-derived Phenotype ProfilesDOI 10.1101/2021.08.08.21261762
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