Current Status and Analysis of Machine Learning in Hepatocellular Carcinoma

作     者：Sijia Feng Jianhua Wang Liheng Wang Qixuan Qiu Dongdong Chen Huo Su Xiaoli Li Yao Xiao Chiayen Lin 

作者机构：General SurgeryCentral South University Xiangya HospitalChangshaHunanChina 

出 版 物：《Journal of Clinical and Translational Hepatology》 (临床与转化肝病杂志（英文版）)

年 卷 期：2023年第11卷第5期

页      面：1184-1191页

核心收录：

学科分类：1002[医学-临床医学] 100214[医学-肿瘤学] 10[医学] 

基　　金：supported by the Natural Science Foundation of Hunan Province(2022JJ30939) The Science and Technology Innovation Leading Project for High-tech Industry of Hunan Province(2020SK2009) 

主　　题：Machine learning Hepatocellular carcinoma Artificial intelligence Prognosis 

摘      要：Hepatocellular carcinoma(HCC)is a common *** the diagnosis and treatment of HCC have made great progress,the overall prognosis remains *** the core component of artificial intelligence,machine learning(ML)has developed rapidly in the past *** particular,ML has become widely used in the medical field,and it has helped in the diagnosis and treatment of *** algorithms of ML have different roles in diagnosis,treatment,and *** article reviews recent research,explains the application of different ML models in HCC,and provides suggestions for follow-up research.