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Efficiently mining Adverse Event Reporting System for multiple drug interactions
Efficiently mining multiple drug interactions and reactions from Adverse Event Reporting System (AERS) is a challenging problem which has not been sufficiently addressed by existing methods. To tackle this challenge, we propose a FCI-fliter approach which leverages the efforts of UMLS mapping, frequ...
Tallennettuna:
| Julkaisussa: | AMIA Jt Summits Transl Sci Proc |
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| Päätekijät: | , , , , , , |
| Aineistotyyppi: | Artigo |
| Kieli: | Inglês |
| Julkaistu: |
American Medical Informatics Association
2014
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| Aiheet: | |
| Linkit: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4333704/ https://ncbi.nlm.nih.gov/pubmed/25717411 |
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