Machine Learning-Based Algorithm for Tacrolimus Dose Optimization in Hospitalized Kidney Transplant Patients.

The large number of data points per outcome, the highly significant between-state differences with narrow confidence intervals for key laboratory markers ( Supplementary Table S2 ), and the small variability of cross-validated performance metrics ( Table 1 ) together suggest that the available sample size was adequate for training and internal validation of the prediction models, while external validation in larger multicenter cohorts remains an important future step.

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