Novel machine learning models outperform risk scores in predicting hepatocellular carcinoma in patients with chronic viral hepatitis
JHEP Reports(2022)
摘要
•Accurate hepatocellular carcinoma (HCC) risk prediction is helpful in reducing mortality.•Existing HCC risk scores usually include a few known risk factors and preselected parameters.•Machine learning allows for direct selection of predictive parameters without subjective preselection.•HCC ridge score (HCC-RS) built from machine learning modelling has higher accuracy than existing HCC risk scores.•HCC-RS may be incorporated into electronic medical health systems to facilitate real-time update of HCC risk.
更多查看译文
关键词
Antiviral treatment,Cirrhosis,Liver cancer,Mortality,World Health Organization
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要