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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Detalles Bibliográficos
Autores principales: Schotland, Peter, Racz, Rebecca, Jackson, David B., Soldatos, Theodoros G., Levin, Robert, Strauss, David G., Burkhart, Keith
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2020
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8246740/
https://www.ncbi.nlm.nih.gov/pubmed/33090463
http://dx.doi.org/10.1002/cpt.2074

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8246740/
https://www.ncbi.nlm.nih.gov/pubmed/33090463
http://dx.doi.org/10.1002/cpt.2074

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