【肝癌】利用隨機生存森林識別肝癌預後變數，並對接受TACE治療的PVTT1患者進行風險分層

 【肝癌】利用隨機生存森林識別肝細胞癌關鍵預後變數，並對接受TACE治療的PVTT1患者進行風險分層

 文章出處  

Frontiers in Oncology 

 

 原文標題  

A Machine Learning Approach to Identify Optimal Candidates for Transarterial Chemoembolization in Unresectable HBV-related hepatocellular carcinoma complicated by First-Branch Portal Vein Tumor Thrombus: a multicenter study 

 

 文章序號  

10967 

 

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