Evaluating semantic similarity methods for comparison of text-derived phenotype profiles
Abstract 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 la...
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| Principais autores: | , , , , , , , , , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
BMC
2022-02-01
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| coleção: | BMC Medical Informatics and Decision Making |
| Assuntos: | |
| Acesso em linha: | https://doi.org/10.1186/s12911-022-01770-4 |
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