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Use of Natural Language Processing to Extract Clinical Cancer Phenotypes from Electronic Medical Records
We survey advances in information extraction from the free-text of electronic medical records as related to the complex domain of oncology. Current models for correlating Electronic Medical Records with –omics data largely ignore the clinical text, which remains an important source of phenotype info...
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| Publié dans: | Cancer Res |
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| Auteurs principaux: | , , , , , , , |
| Format: | Artigo |
| Langue: | Inglês |
| Publié: |
2019
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| Sujets: | |
| Accès en ligne: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7227798/ https://ncbi.nlm.nih.gov/pubmed/31395609 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1158/0008-5472.CAN-19-0579 |
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