01 April 2025 : Original article
Optimizing Tacrolimus Dosing During Hospitalization After Kidney Transplantation: A Comparative Model Analysis
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
Table 6 Feature importance score (tacrolimus trough level) for each machine learning model.
| Feature (variable) | Feature importance score (XGBoost) | Feature importance Score (LR) | Feature importance Score (EN) |
|---|---|---|---|
| Tacrolimus trough level 10 day | 0.269 | 1.344 | 1.317 |
| Tacrolimus dose 10 day | 0.120 | 0.476 | 0.425 |
| Graft weight | 0.089 | 0.201 | 0.156 |
| Tacrolimus trough level 9 day | 0.126 | 0.072 | 0.0 |
| Period from surgery to discharge | 0.091 | 0.011 | 0.0 |
| Body mass index | 0.092 | −0.05 | 0.0 |
| Tacrolimus trough level 8 day | 0.108 | −0.125 | −0.06 |
| Tacrolimus trough level 7 day | 0.105 | −0.148 | −0.126 |
| XGBoost – extreme gradient boosting; LR – linear regression; EN – elastic net. | |||