Random survival forest algorithm for risk stratification and survival prediction in gastric neuroendocrine neoplasms

Tianbao Liao(Affiliated Hospital of Youjiang Medical University for Nationalities), Lu-Huai Feng(Tumor Hospital of Guangxi Medical University), Tingting Su(The People's Hospital of Guangxi Zhuang Autonomous Region), Weiyuan Wei(Tumor Hospital of Guangxi Medical University), Lina Huang(Tumor Hospital of Guangxi Medical University), Lu Yang(Weifang Medical University)
Scientific Reports
November 6, 2024
10.1038/s41598-024-77988-1
Cited by 8

Related Papers

Silencing of <i>Sl<scp>PL</scp></i>, which encodes a pectate lyase in tomato, confers enhanced fruit firmness, prolonged shelf‐life and reduced susceptibility to grey mould
|Plant Biotechnology Journal|2017|275
Overexpression of a tomato miR171 target gene <i>Sl<scp>GRAS</scp>24</i> impacts multiple agronomical traits via regulating gibberellin and auxin homeostasis
|Plant Biotechnology Journal|2016|165
Significance of LL‐37 on Immunomodulation and Disease Outcome
|BioMed Research International|2020|133
Influence of genetic diversity of seventeen Beauveria bassiana isolates from different hosts on virulence by comparative genomics
|BMC Genomics|2020|60
Analysis of mouse LMIR5/CLM-7 as an activating receptor: differential regulation of LMIR5/CLM-7 in mouse versus human cells
|Blood|2007|49