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Mining FDA drug labels using an unsupervised learning technique - topic modeling
BACKGROUND: The Food and Drug Administration (FDA) approved drug labels contain a broad array of information, ranging from adverse drug reactions (ADRs) to drug efficacy, risk-benefit consideration, and more. However, the labeling language used to describe these information is free text often contai...
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| Autors principals: | , , , , |
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| Format: | Artigo |
| Idioma: | Inglês |
| Publicat: |
BioMed Central
2011
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| Matèries: | |
| Accés en línia: | https://ncbi.nlm.nih.gov/pmc/articles/PMC3236833/ https://ncbi.nlm.nih.gov/pubmed/22166012 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/1471-2105-12-S10-S11 |
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