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Learning Signals of Adverse Drug-Drug Interactions from the Unstructured Text of Electronic Health Records
Drug-drug interactions (DDI) account for 30% of all adverse drug reactions, which are the fourth leading cause of death in the US. Current methods for post marketing surveillance primarily use spontaneous reporting systems for learning DDI signals and validate their signals using the structured port...
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| 主要な著者: | , , , , |
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| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
American Medical Informatics Association
2013
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| 主題: | |
| オンライン･アクセス: | https://ncbi.nlm.nih.gov/pmc/articles/PMC3814491/ https://ncbi.nlm.nih.gov/pubmed/24303305 |
| タグ: |
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