%0 Journal Article
%T Comparison of Basic and Ensemble Data Mining Methods in Predicting 5-Year Survival of Colorectal Cancer Patients
%A Mohamad Amin Pourhoseingholi
%A Mohammad Reza Zali
%A Sedigheh Kheirian
%J Archive of "Acta Informatica Medica".
%D 2017
%R 10.5455/aim.2017.25.254-258
%X Colorectal cancer (CRC) is one of the most common malignancies and cause of cancer mortality worldwide. Given the importance of predicting the survival of CRC patients and the growing use of data mining methods, this study aims to compare the performance of models for predicting 5-year survival of CRC patients using variety of basic and ensemble data mining methods
%K colorectal cancer
%K survival
%K data mining
%K machine learning
%K AUC
%U https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5723205/