Multi-Drug Featurization and Deep Learning Improve Patient-Specific Predictions of Adverse Events

While the clinical approval process is able to filter out medications whose utility does not offset their adverse drug reaction profile in humans, it is not well suited to characterizing lower frequency issues and idiosyncratic multi-drug interactions that can happen in real world diverse patient po...

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Detalles Bibliográficos
Autores principales: Anastopoulos, Ioannis N., Herczeg, Chloe K., Davis, Kasey N., Dixit, Atray C.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7967515/
https://www.ncbi.nlm.nih.gov/pubmed/33807714
http://dx.doi.org/10.3390/ijerph18052600

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7967515/
https://www.ncbi.nlm.nih.gov/pubmed/33807714
http://dx.doi.org/10.3390/ijerph18052600

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