Evaluating semantic similarity methods for comparison of text-derived phenotype profiles

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...

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Detalles Bibliográficos
Autores principales: Slater, Luke T., Russell, Sophie, Makepeace, Silver, Carberry, Alexander, Karwath, Andreas, Williams, John A., Fanning, Hilary, Ball, Simon, Hoehndorf, Robert, Gkoutos, Georgios V.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8818208/
https://www.ncbi.nlm.nih.gov/pubmed/35123470
http://dx.doi.org/10.1186/s12911-022-01770-4

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8818208/
https://www.ncbi.nlm.nih.gov/pubmed/35123470
http://dx.doi.org/10.1186/s12911-022-01770-4

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