Detection of potential drug-drug interactions for risk of acute kidney injury: a population-based case-control study using interpretable machine-learning models

Background: Acute kidney injury (AKI), with an increase in serum creatinine, is a common adverse drug event. Although various clinical studies have investigated whether a combination of two nephrotoxic drugs has an increased risk of AKI using traditional statistical models such as multivariable logi...

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Detalles Bibliográficos
Autores principales: Akimoto, Hayato, Hayakawa, Takashi, Nagashima, Takuya, Minagawa, Kimino, Takahashi, Yasuo, Asai, Satoshi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
Materias:
Pharmacology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10242015/
https://www.ncbi.nlm.nih.gov/pubmed/37288110
http://dx.doi.org/10.3389/fphar.2023.1176096

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10242015/
https://www.ncbi.nlm.nih.gov/pubmed/37288110
http://dx.doi.org/10.3389/fphar.2023.1176096

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