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Identifying relevant medical reports from an assorted report collection using the multinomial naïve Bayes classifier and the UMLS
A patient’s electronic medical record contains a large number of medical reports and imaging studies. Identifying the relevant information in order to make a diagnosis can be a time consuming process that can easily overwhelm the physician. Summarizing key clinical information for physicians evaluat...
| Autores principales: | , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
2007
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9592058/ https://www.ncbi.nlm.nih.gov/pubmed/36284749 |