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

Frontiers in Oncology

Oncology

Xin-Yu Ge¹  Tao Yang¹  Tian-Yi Wang¹  Ming-Chen Sun¹  Wei Wang¹  Gang Liu²  Xi-Min Wang²  Yi-Ming Lu² 

[1] First Affiliated Hospital of Jinzhou Medical University, Jinzhou, China;Jinzhou Medical University, Jinzhou, Liaoning, China;

关键词: HCC (hepatic cellular carcinoma);    SEER (Surveillance Epidemiology and End Results) database;    machine learning - ML;    risk factors;    random survival forest model;   

DOI  :  10.3389/fonc.2023.1067353

 received in 2022-10-11, accepted in 2023-03-10,  发布年份 2023

来源: Frontiers

【 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.

【 授权许可】

Unknown   
Copyright © 2023 Ge, Sun, Wang, Wang, Liu, Yang, Lu and Wang