Development of machine learning-based predictors for early diagnosis of hepatocellular carcinoma
Abstract Hepatocellular carcinoma (HCC) remains a formidable malignancy that significantly impacts human health, and the early diagnosis of HCC holds paramount importance.Therefore, it is imperative to develop an efficacious signature for the early diagnosis of HCC.In this study, we aimed to develop early HCC predictors (eHCC-pred) using machine le