… Hepatocellular carcinoma (HCC) is a serious cancer which ranked the fourth in cancer-… In
this study, we applied a computational approach that based on machine learning method to a …

… Hepatocellular carcinoma (HCC) is the malignancy of liver cancer. It has high impact …
machine learning approach to detect HCC using 165 patients. Ten well-known machine learning …

… machine learning algorithm had suboptimal accuracy in the validation cohort. Although
promising, further refinement of the machine-learning … The use of machine learning algorithms …

… to establish a novel machine-learning model for predicting hepatocellular carcinoma (HCC) …
To establish a predictive model, we developed a machine-learning framework which …

… of machine learning (ML) algorithms, a growing number of predictive models have been
established for predicting the therapeutic outcome of patients with hepatocellular carcinoma (…

… Hepatocellular carcinoma (HCC) is the most common primary liver malignancy … Machine
learning (ML) is the core of AI. ML can make the computer simulate or realize human learning …

… In this study, several machine learning techniques (Classification and regression tree,
alternating decision tree, reduce pruning error tree and linear regression algorithm) were used to …

… Findings In this prognostic study of 701 patients with recurrent hepatocellular carcinoma,
a machine learning model was created to predict the survival after recurrence, and its area …

… hepatocellular carcinoma (HCC) risk prediction facilitates appropriate surveillance strategy
and reduces cancer mortality. We aimed to derive and validate novel machine learning …

… LT) listing criteria for hepatocellular carcinoma (HCC) remain … , this study aims to leverage
machine learning to develop an … vector machine, and DeepSurv machine learning algorithms …