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Automated Reconciliation of Radiology Reports and Discharge Summaries
We study machine learning techniques to automatically identify limb abnormalities (including fractures, dislocations and foreign bodies) from radiology reports. For patients presenting to the Emergency Room (ER) with suspected limb abnormalities (e.g., fractures) there is often a multi-day delay bef...
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| Опубликовано в: : | AMIA Annu Symp Proc |
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| Главные авторы: | , , , , , , |
| Формат: | Artigo |
| Язык: | Inglês |
| Опубликовано: |
American Medical Informatics Association
2015
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| Предметы: | |
| Online-ссылка: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4765582/ https://ncbi.nlm.nih.gov/pubmed/26958213 |
| Метки: |
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