Analysis of risk factors of hepatocellular carcinoma and establishment of a clinical prognosis model

被引:6
|
作者
Ge, Xin-Yu [1 ]
Sun, Ming-Chen [1 ]
Wang, Tian-Yi [1 ]
Wang, Xi-Min [2 ]
Liu, Gang [2 ]
Yang, Tao [1 ]
Lu, Yi-Ming [2 ]
Wang, Wei [1 ]
机构
[1] Jinzhou Med Univ, Affiliated Hosp 1, Jinzhou, Peoples R China
[2] Jinzhou Med Univ, Jinzhou, Liaoning, Peoples R China
来源
FRONTIERS IN ONCOLOGY | 2023年 / 13卷
关键词
HCC (hepatic cellular carcinoma); SEER (Surveillance Epidemiology and End Results) database; machine learning; ML; risk factors; random survival forest model;
D O I
10.3389/fonc.2023.1067353
中图分类号
R73 [肿瘤学];
学科分类号
100214 ;
摘要
Liver cancer is a common malignancy of the digestive system. Hepatocellular carcinoma (HCC) accounts for the most majority of these tumors and it has brought a heavy medical burden to underdeveloped countries and regions. Many factors affect the prognosis of HCC patients, however, there is no specific statistical model to predict the survival time of clinical patients. This study derived a risk factor signature of HCC and reliable clinical prediction model by statistically analyzing The Surveillance, Epidemiology, and End Results (SEER) database patient information using an open source package in the python environment.
引用
收藏
页数:8
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