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Prediction of post-donation renal function using machine learning techniques and conventional regression models in living kidney donors.

Junseok JeonYeejun SongJae Yong YuWeon JungKyungho LeeJung Eun LeeWooseong HuhWon Chul ChaHye Ryoun Jang
Published in: Journal of nephrology (2024)
The prediction model using XGBoost accurately predicted the post-donation eGFR after living kidney donation. This model can be applied in clinical practice using KDNI, the developed web application.
Keyphrases
  • clinical practice
  • small cell lung cancer
  • epidermal growth factor receptor
  • tyrosine kinase
  • kidney transplantation