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Hepatocellular carcinoma (HCC) is one of the growing malignancies globally, affecting a myriad of people and causing numerous cancer‐related deaths. Despite therapeutic improvements in treatment strategies over the past decades, HCC still remains one of the leading causes of person‐years of life lost. Numerous studies have been conducted to assess the characteristics of HCC with the aim of predicting...
Background
Machine learning (ML) algorithms can be used to overcome the prognostic performance limitations of conventional hepatocellular carcinoma (HCC) risk models. We established and validated an ML‐based HCC predictive model optimized for patients with chronic hepatitis B (CHB) infections receiving antiviral therapy (AVT).
Methods
Treatment‐naïve CHB patients who were started entecavir (ETV)...