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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Bibliographische Detailangaben
Veröffentlicht in:Clin Pharmacol Ther
Hauptverfasser: Schotland, Peter, Racz, Rebecca, Jackson, David B., Soldatos, Theodoros G., Levin, Robert, Strauss, David G., Burkhart, Keith
Format: Artigo
Sprache:Inglês
Veröffentlicht: John Wiley and Sons Inc. 2020
Schlagworte:
Research
Online Zugang: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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