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A Topic-modeling Based Framework for Drug-drug Interaction Classification from Biomedical Text
Classification of drug-drug interaction (DDI) from medical literatures is significant in preventing medication-related errors. Most of the existing machine learning approaches are based on supervised learning methods. However, the dynamic nature of drug knowledge, combined with the enormity and rapi...
Tallennettuna:
| Julkaisussa: | AMIA Annu Symp Proc |
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| Päätekijät: | , , , , , , |
| Aineistotyyppi: | Artigo |
| Kieli: | Inglês |
| Julkaistu: |
American Medical Informatics Association
2017
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| Aiheet: | |
| Linkit: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5333320/ https://ncbi.nlm.nih.gov/pubmed/28269875 |
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