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Clinical Document Classification Using Labeled and Unlabeled Data Across Hospitals
Reviewing radiology reports in emergency departments is an essential but laborious task. Timely follow-up of patients with abnormal cases in their radiology reports may dramatically affect the patient’s outcome, especially if they have been discharged with a different initial diagnosis. Machine lear...
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| Publicado no: | AMIA Annu Symp Proc |
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| Main Authors: | , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
American Medical Informatics Association
2018
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6371298/ https://ncbi.nlm.nih.gov/pubmed/30815095 |
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