Construction of diagnostic models for the progression of hepatocellular carcinoma using machine learning
Xin Jiang,
Ruilong Zhou,
Fengle Jiang
et al.
Abstract:Liver cancer is one of the most prevalent forms of cancer worldwide. A significant proportion of patients with hepatocellular carcinoma (HCC) are diagnosed at advanced stages, leading to unfavorable treatment outcomes. Generally, the development of HCC occurs in distinct stages. However, the diagnostic and intervention markers for each stage remain unclear. Therefore, there is an urgent need to explore precise grading methods for HCC. Machine learning has emerged as an effective technique for studying precise … Show more
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