Optimizing Tacrolimus Dosing During Hospitalization After Kidney Transplantation: A Comparative Model Analysis

01 April 2025 : Original article

Sangkyun Mok

^{ABCDEF 1}, Sun Cheol Park

^{ABDEF 2*}, Sang Seob Yun^{AF 2}, Young Jun Park

^{AF 3}, Dongin Sin^{CD 4}, Jung K. Hyun

^{CD 5}

DOI: 10.12659/AOT.947768

Ann Transplant 2025; 30:e947768

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Table 7 Feature importance score (tacrolimus dose) for each machine learning model.

Feature (variable)	Feature importance Score (XGBoost)	Feature importance Score (LR)	Feature importance Score (EN)
Tacrolimus dose10 day	0.687	2.208	2.167
Tacrolimus dose 4 day	0.079	0.165	0.173
Tacrolimus dose 1 day	0.039	0.061	0.042
Tacrolimus trough level 8 day	0.049	0.049	0.005
Tacrolimus trough level 1 day	0.019	0.006	0.0
Age at transplantation	0.023	0.004	0.0
Height	0.027	0.001	0.0
Graft weight	0.029	−0.055	−0.032
Tacrolimus trough level 10 day	0.049	−0.242	−0.212
XGBoost – extreme gradient boosting; LR – linear regression; EN – elastic net.

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