Machine learning methods for accurately predicting survival and guiding treatment in stage I and II hepatocellular carcinoma.

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作者： Xianguo,Li ^[1] ; Haijun,Bao ^[1] ; Yongping,Shi ^[1] ; Wenzhong,Zhu ^[1] ; Zuojie,Peng ^[1] ; Lizhao,Yan ^[2] ; Jinhuang,Chen ^[3] ; Xiaogang,Shu ^[1]

作者单位： Department of Gastrointestinal Surgery, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China. ^[1] Department of Hand Surgery, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China. ^[2] Department of Emergency Surgery, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China. ^[3]

主题词人类(Humans);癌, 肝细胞(Carcinoma, Hepatocellular);肝肿瘤(Liver Neoplasms);预后(Prognosis);比例危险度模型(Proportional Hazards Models)

DOI 10.1097/MD.0000000000035892

PMID 37960763

发布时间 2024-03-12

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准确一般字义偏差语意偏离译文作用小提交