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Table 1 The specifics of the packages for each feature selection and machine learning method

From: Effect of machine learning methods on predicting NSCLC overall survival time based on Radiomics analysis

Methods Software Packages Website Links
PCC SML toolbox corr https://ww2.mathworks.cn/help/stats/corr.html
KCC
SCC
MI MIToolbox mi https://github.com/Craigacp/MIToolbox
CI Hisc rcorr.cens https://github.com/harrelfe/Hmisc
Cox survival coxph https://github.com/therneau/survival
GB-Cox mboost mboost https://github.com/boost-R/mboost
GB-Cindex mboost mboost https://github.com/boost-R/mboost
CoxBoost CoxBoost CoxBoost https://github.com/binderh/CoxBoost
BST ipred bagging https://github.com/cran/ipred
RFS randomForestSRC rfsrc https://github.com/kogalur/randomForestSRC
SR survival survreg https://github.com/therneau/survival
SVCR survivalsvm survivalsvm https://git-hub.com/imbs-hl/survivalsvm
  1. SML statistics and machine learning