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Additional file 1 of Development and validation of a gradient boosting machine to predict prognosis after liver resection for intrahepatic cholangiocarcinoma

Authors :
Ji, Gu-Wei
Jiao, Chen-Yu
Xu, Zheng-Gang
Li, Xiang-Cheng
Wang, Ke
Wang, Xue-Hao
Publication Year :
2022
Publisher :
figshare, 2022.

Abstract

Additional file 1: Fig. S1. Scatter plot of gradient boosting machine-based prediction scores in the training/validation and test cohort. Scores are reported as median (interquartile range). Fig. S2. X-tile analysis to determine the optimal cut-points for GBM-based prediction scores. The optimal cut-points highlighted by black circle (A) are detailed in histogram of the training/validation cohort (B) with corresponding Kaplan-Meier curves (C). GBM gradient boosting machine. Table S1. Comparison of proposed and existing prognostic tools for ICC in sub-cohort with or without missing covariates. Table S2. Comparison of demographic and clinicopathological characteristics among different risk groups

Details

Database :
OpenAIRE
Accession number :
edsair.doi.dedup.....b8045ee640f521912619579c8023de1c
Full Text :
https://doi.org/10.6084/m9.figshare.19350056