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Prediction of Distant Metastasis of Renal Cell Carcinoma Based on Interpretable Machine Learning: A Multicenter Retrospective Study
Published 2025-01-01“…Jinkai Dong,1,* Minjie Duan,2,3,* Xiaozhu Liu,4,* Huan Li,5 Yang Zhang,6 Tingting Zhang,7 Chengwei Fu,1 Jie Yu,8 Weike Hu,9 Shengxian Peng9,* 1Senior Department of Urology, the Third Medical Center of PLA General Hospital, Beijing, People’s Republic of China; 2Medical School of Chinese PLA, Beijing, People’s Republic of China; 3Medical Innovation Research Department, Chinese PLA General Hospital, Beijing, People’s Republic of China; 4Emergency and Critical Care Medical Center, Beijing Shijitan Hospital, Capital Medical University, Beijing, People’s Republic of China; 5Chongqing College of Electronic Engineering, Chongqing, People’s Republic of China; 6College of Medical Informatics, Chongqing Medical University, Chongqing, People’s Republic of China; 7Department of Endocrinology, Fifth Medical Center of Chinese PLA Hospital, Beijing, People’s Republic of China; 8Department of Medical Imaging, The Affiliated Taian City Central Hospital of Qingdao University, Taian, People’s Republic of China; 9Scientific Research Department, First People’s Hospital of Zigong City, Zigong, People’s Republic of China*These authors contributed equally to this workCorrespondence: Shengxian Peng, Scientific Research Department, First People’s Hospital of Zigong City, No. 42, 1st Street, Shangyihao, ZiLiuJing District, ZiGong, SiChuan, 643000, People’s Republic of China, Email 13258280319@163.comBackground: : The traditional tool for predicting distant metastasis in renal cell carcinoma (RCC) is still insufficient. …”
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Evaluation of an Improved Technique for Geosynthetic-Reinforced and Pile-Supported Embankment
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