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A deep-learning based model for identification of prognostic factors and prediction of graft survival in kidney transplant patients

Kim JM, Shin S, Kim YH, Kwon H, Ko Y, Kwon HE, Lee JJ, Hwang SH, Jun TJ

Background: Kidney transplantation has been known as the ideal treatment for patients with end-stage renal disease. Graft function and survival are key aspects in posttransplant outcomes but it is rather...
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