Prognostic models for upper urinary tract urothelial carcinoma patients after radical nephroureterectomy based on a novel systemic immune-inflammation score with machine learning.

Jianyong LiuPengjie WuShicong LaiJianye WangHuimin HouYaoguang Zhang

Published in: BMC cancer (2023)

The pretreatment levels of SIIS were an independent predictor of prognosis in upper urinary tract urothelial carcinoma after RNU. Therefore, incorporating SIIS into currently available clinical parameters helps predict the long-term survival of UTUC.

Keyphrases

urinary tract
machine learning
end stage renal disease
newly diagnosed
ejection fraction
oxidative stress
prognostic factors
peritoneal dialysis
big data
deep learning
artificial intelligence