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Text mining for precision medicine: automating disease-mutation relationship extraction from biomedical literature
Objective Identifying disease-mutation relationships is a significant challenge in the advancement of precision medicine. The aim of this work is to design a tool that automates the extraction of disease-related mutations from biomedical text to advance database curation for the support of precision...
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| Veröffentlicht in: | J Am Med Inform Assoc |
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| Hauptverfasser: | , , |
| Format: | Artigo |
| Sprache: | Inglês |
| Veröffentlicht: |
Oxford University Press
2016
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| Schlagworte: | |
| Online Zugang: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4926749/ https://ncbi.nlm.nih.gov/pubmed/27121612 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1093/jamia/ocw041 |
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