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Target Adverse Event Profiles for Predictive Safety in the Postmarket Setting
We improved a previous pharmacological target adverse‐event (TAE) profile model to predict adverse events (AEs) on US Food and Drug Administration (FDA) drug labels at the time of approval. The new model uses more drugs and features for learning as well as a new algorithm. Comparator drugs sharing s...
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| Pubblicato in: | Clin Pharmacol Ther |
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| Autori principali: | , , , , , , |
| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
John Wiley and Sons Inc.
2020
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| Soggetti: | |
| Accesso online: | https://ncbi.nlm.nih.gov/pmc/articles/PMC8246740/ https://ncbi.nlm.nih.gov/pubmed/33090463 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1002/cpt.2074 |
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