Development of a predictive model for nephrotoxicity during tacrolimus treatment using machine learning methods
Tsubura Noda,
Shotaro Mizuno,
Kaoru Mogushi
et al.
Abstract:AimWhen administering tacrolimus, therapeutic drug monitoring is recommended because nephrotoxicity, an adverse event, occurs at supra‐therapeutic whole‐blood concentrations of tacrolimus. However, some patients exhibit nephrotoxicity even at the recommended concentrations. Therefore, establishing a therapeutic range of tacrolimus concentration for the individual patient is necessary to avoid nephrotoxicity. This study was aimed at developing a model for individualised prediction of nephrotoxicity in patients … Show more
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