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Automated Detection of Critical Results in Radiology Reports
The goal of this study was to develop and validate text-mining algorithms to automatically identify radiology reports containing critical results including tension or increasing/new large pneumothorax, acute pulmonary embolism, acute cholecystitis, acute appendicitis, ectopic pregnancy, scrotal tors...
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| Autori principali: | , , |
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| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
Springer-Verlag
2011
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| Soggetti: | |
| Accesso online: | https://ncbi.nlm.nih.gov/pmc/articles/PMC3264731/ https://ncbi.nlm.nih.gov/pubmed/22038514 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1007/s10278-011-9426-6 |
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