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Identifying Cases of Metastatic Prostate Cancer Using Machine Learning on Electronic Health Records
Cancer stage is rarely captured in structured form in the electronic health record (EHR). We evaluate the performance of a classifier, trained on structured EHR data, in identifying prostate cancer patients with metastatic disease. Using EHR data for a cohort of 5,861 prostate cancer patients mapped...
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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/PMC6371284/ https://ncbi.nlm.nih.gov/pubmed/30815195 |
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