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Automatic Classification of Structured Product Labels for Pregnancy Risk Drug Categories, a Machine Learning Approach
With regular expressions and manual review, 18,342 FDA-approved drug product labels were processed to determine if the five standard pregnancy drug risk categories were mentioned in the label. After excluding 81 drugs with multiple-risk categories, 83% of the labels had a risk category within the te...
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| Publicat a: | AMIA Annu Symp Proc |
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| Autors principals: | , |
| Format: | Artigo |
| Idioma: | Inglês |
| Publicat: |
American Medical Informatics Association
2015
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| Matèries: | |
| Accés en línia: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4765680/ https://ncbi.nlm.nih.gov/pubmed/26958248 |
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