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An ensemble learning model for predicting cancer-specific survival of muscle-invasive bladder cancer patients undergoing bladder preservation therapy.

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第一作者： Liwei,Wei

第一单位： Department of Urology, The First Affiliated Hospital, Guangxi Medical University, Nanning, China.

作者： Liwei,Wei ^[1] ; Fubo,Wang ^[2] ; Guanglin,Yang ^[3] ; Naikai,Liao ^[1] ; Zelin,Cui ^[1] ; Hao,Chen ^[1] ; Qiyue,Zhao ^[1] ; Min,Qin ^[4] ; Ji-Wen,Cheng ^[5]

作者单位： Department of Urology, The First Affiliated Hospital, Guangxi Medical University, Nanning, China. ^[1] Center for Genomic and Personalized Medicine, Guangxi Key Laboratory for Genomic and Personalized Medicine, Guangxi Collaborative Innovation Center for Genomic and Personalized Medicine, Guangxi Medical University, Nanning, China. ^[2] Department of Urology, The Affiliated Tumor Hospital, Guangxi Medical University, Nanning, China. ^[3] Department of Sperm Bank, The First Affiliated Hospital, Guangxi Medical University, Nanning, China. ^[4] Department of Urology, The First Affiliated Hospital, Guangxi Medical University, Nanning, China.;Center for Genomic and Personalized Medicine, Guangxi Key Laboratory for Genomic and Personalized Medicine, Guangxi Collaborative Innovation Center for Genomic and Personalized Medicine, Guangxi Medical University, Nanning, China. ^[5]

关键词 Muscle-invasive bladder cancer (MIBC)bladder-preserving therapy (BPT)cancer-specific survival (CSS)ensemble learning predictive model

DOI 10.21037/tcr-24-561

PMID 39262460

发布时间 2024-09-14

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