Machine learning algorithms as early diagnostic tools for pancreatic fistula following pancreaticoduodenectomy and guide drain removal: A retrospective cohort study.

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作者： Ziyun,Shen ^[1] ; Haoda,Chen ^[1] ; Weishen,Wang ^[1] ; Wei,Xu ^[1] ; Yiran,Zhou ^[1] ; Yuanchi,Weng ^[1] ; Zhiwei,Xu ^[1] ; Xiaxing,Deng ^[1] ; Chenghong,Peng ^[1] ; Xiongxiong,Lu ^[2] ; Baiyong,Shen ^[3]

作者单位： Department of General Surgery, Pancreatic Disease Center, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China. ^[1] Department of General Surgery, Pancreatic Disease Center, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China; Research Institute of Pancreatic Disease, Shanghai Jiao Tong University School of Medicine, Shanghai, China. Electronic address: simone515night@126.com. ^[2] Department of General Surgery, Pancreatic Disease Center, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China; Institute of Translational Medicine, Shanghai Jiao Tong University, Shanghai, China; Research Institute of Pancreatic Disease, Shanghai Jiao Tong University School of Medicine, Shanghai, China; State Key Laboratory of Oncogenes and Related Genes, Shanghai, China. Electronic address: shenby@shsmu.edu.cn. ^[3]

关键词 Drain fluid amylase Drain removal Machine learning algorithms Pancreatic fistula Pancreaticoduodenectomy