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Using phrases and document metadata to improve topic modeling of clinical reports
Probabilistic topic models provide an unsupervised method for analyzing unstructured text, which have the potential to be integrated into clinical automatic summarization systems. Clinical documents are accompanied by metadata in a patient’s medical history and frequently contains multiword concepts...
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| Publicado en: | J Biomed Inform |
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| Autores principales: | , , |
| Formato: | Artigo |
| Lenguaje: | Inglês |
| Publicado: |
2016
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| Materias: | |
| Acceso en línea: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4902330/ https://ncbi.nlm.nih.gov/pubmed/27109931 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.jbi.2016.04.005 |
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