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Development of a predictive model for nephrotoxicity during tacrolimus treatment using machine learning methods.

Tsubura NodaShotaro MizunoKaoru MogushiTakeshi HaseYoritsugu IidaKatsuyuki TakeuchiYasuyoshi IshiwataMasashi Nagata
Published in: British journal of clinical pharmacology (2023)
A machine learning model to predict nephrotoxicity in patients during tacrolimus treatment was developed using tacrolimus whole-blood concentration and other patient data. This model could potentially assist in identifying high-risk patients who require individualised target therapeutic concentrations of tacrolimus prior to treatment initiation to prevent nephrotoxicity.
Keyphrases
  • machine learning
  • ejection fraction
  • chronic kidney disease
  • drug induced
  • case report