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Text Mining for Adverse Drug Events: the Promise, Challenges, and State of the Art
Text mining is the computational process of extracting meaningful information from large amounts of unstructured text. Text mining is emerging as a tool to leverage underutilized data sources that can improve pharmacovigilance, including the objective of adverse drug event detection and assessment....
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| Autors principals: | , , , , , , , , |
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| Format: | Artigo |
| Idioma: | Inglês |
| Publicat: |
2014
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| Matèries: | |
| Accés en línia: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4217510/ https://ncbi.nlm.nih.gov/pubmed/25151493 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1007/s40264-014-0218-z |
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