Enhancing post-kidney transplant prognostication: an interpretable machine learning approach for longitudinal outcome prediction

Abstract Kidney transplantation offers life-extending treatment for patients with end-stage renal disease, yet long-term risks of graft loss and death persist. Traditional prediction models using only baseline data often fail to capture patients’ evolving health status post-transplant. In this study...

पूर्ण विवरण

ग्रंथसूची विवरण

मुख्य लेखकों:	Bowen Fan, Manuel Schürch, Yuan Tian, Anna Mallone, Lukas Frischknecht, Michael Koller, Christian Van Delden, Alexander Leichtle, Dela Golshayan, Jean Villard, Thomas Schachtner, Daniel Sidler, Stefan Schaub, Jakob Nilsson, Michael Krauthammer, Swiss Transplant Cohort Study
स्वरूप:	Artigo
भाषा:	Inglês
प्रकाशित:	Nature Portfolio 2025-11-01
श्रृंखला:	npj Digital Medicine
ऑनलाइन पहुंच:	https://doi.org/10.1038/s41746-025-02049-4
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