Prediction tool for renal adaptation after living kidney donation using interpretable machine learning

INTRODUCTION: Post-donation renal outcomes are a crucial issue for living kidney donors considering young donors’ high life expectancy and elderly donors’ comorbidities that affect kidney function. We developed a prediction model for renal adaptation after living kidney donation using interpretable...

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Detalles Bibliográficos
Autores principales: Jeon, Junseok, Yu, Jae Yong, Song, Yeejun, Jung, Weon, Lee, Kyungho, Lee, Jung Eun, Huh, Wooseong, Cha, Won Chul, Jang, Hye Ryoun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
Materias:
Medicine
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10375292/
https://www.ncbi.nlm.nih.gov/pubmed/37521345
http://dx.doi.org/10.3389/fmed.2023.1222973

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10375292/
https://www.ncbi.nlm.nih.gov/pubmed/37521345
http://dx.doi.org/10.3389/fmed.2023.1222973

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