Analysis of risk factors of hepatocellular carcinoma and establishment of a clinical prognosis model
- PMID: 37035138
- PMCID: PMC10073455
- DOI: 10.3389/fonc.2023.1067353
Analysis of risk factors of hepatocellular carcinoma and establishment of a clinical prognosis model
Abstract
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.
Keywords: HCC (hepatic cellular carcinoma); SEER (Surveillance Epidemiology and End Results) database; machine learning - ML; random survival forest model; risk factors.
Copyright © 2023 Ge, Sun, Wang, Wang, Liu, Yang, Lu and Wang.
Conflict of interest statement
The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.
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