Article
Evaluating semantic similarity methods for comparison of text-derived phenotype profiles.
BMC medical informatics and decision making - 5 Feb 2022
Slater Luke T, Russell Sophie, Makepeace Silver, Carberry Alexander, Karwath Andreas, Williams John A, Fanning Hilary, Ball Simon, Hoehndorf Robert, Gkoutos Georgios V
Abstract excerpt
BACKGROUND: 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. While a large body of work exists exploring the use of semantic similarity for multiple tasks, including protein interaction...
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