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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...
Autores principales: | Akimoto, Hayato, Hayakawa, Takashi, Nagashima, Takuya, Minagawa, Kimino, Takahashi, Yasuo, Asai, Satoshi |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2023
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Materias: | |
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 |
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