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Gastrointestinal cancer
Machine Learning Model for Predicting Postoperative Survival of Patients with Colorectal Cancer
Mohamed Hosny Osman, Reham Hosny Mohamed, Hossam Mohamed Sarhan, Eun Jung Park, Seung Hyuk Baik, Kang Young Lee, Jeonghyun Kang
Cancer Res Treat. 2022;54(2):517-524.   Published online June 15, 2021    DOI: https://doi.org/10.4143/crt.2021.206
                              Supplementary      
Gastrointestinal Cancer
LASSO-Based Machine Learning Algorithm for Prediction of Lymph Node Metastasis in T1 Colorectal Cancer
Jeonghyun Kang, Yoon Jung Choi, Im-kyung Kim, Hye Sun Lee, Hogeun Kim, Seung Hyuk Baik, Nam Kyu Kim, Kang Young Lee
Cancer Res Treat. 2021;53(3):773-783.   Published online December 29, 2020    DOI: https://doi.org/10.4143/crt.2020.974
                              Supplementary         Cited By 10
Prediction of Acquired Taxane Resistance Using a Personalized Pathway-Based Machine Learning Method
Young Rae Kim, Dongha Kim, Sung Young Kim
Cancer Res Treat. 2019;51(2):672-684.   Published online August 10, 2018    DOI: https://doi.org/10.4143/crt.2018.137
                              Supplementary         Cited By 6
Histopathologic and Molecular Biomarkers of PD-1/PD-L1 Inhibitor Treatment Response among Patients with Microsatellite Instability‒High Colon Cancer
Jaewon Hyung, Eun Jeong Cho, Jihun Kim, Jwa Hoon Kim, Jeong Eun Kim, Yong Sang Hong, Tae Won Kim, Chang Ohk Sung, Sun Young Kim
Received October 21, 2021   Accepted January 11, 2022   Published online January 12, 2022
DOI: https://doi.org/10.4143/crt.2021.1133    
[Epub ahead of print]
                              Supplementary      
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