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Prediction of adverse drug reactions based on knowledge graph embedding
BACKGROUND: Adverse drug reactions (ADRs) are an important concern in the medication process and can pose a substantial economic burden for patients and hospitals. Because of the limitations of clinical trials, it is difficult to identify all possible ADRs of a drug before it is marketed. We develop...
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| Pubblicato in: | BMC Med Inform Decis Mak |
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| Autori principali: | , , , , |
| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
BioMed Central
2021
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| Soggetti: | |
| Accesso online: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7863488/ https://ncbi.nlm.nih.gov/pubmed/33541342 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s12911-021-01402-3 |
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