Machine learning liver-injuring drug interactions with non-steroidal anti-inflammatory drugs (NSAIDs) from a retrospective electronic health record (EHR) cohort

Drug-drug interactions account for up to 30% of adverse drug reactions. Increasing prevalence of electronic health records (EHRs) offers a unique opportunity to build machine learning algorithms to identify drug-drug interactions that drive adverse events. In this study, we investigated hospitalizat...

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Detalles Bibliográficos
Autores principales: Datta, Arghya, Flynn, Noah R., Barnette, Dustyn A., Woeltje, Keith F., Miller, Grover P., Swamidass, S. Joshua
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2021
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8284671/
https://www.ncbi.nlm.nih.gov/pubmed/34228716
http://dx.doi.org/10.1371/journal.pcbi.1009053

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8284671/
https://www.ncbi.nlm.nih.gov/pubmed/34228716
http://dx.doi.org/10.1371/journal.pcbi.1009053

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