Machine Learning Algorithms Outperform Conventional Regression Modelsin Predicting Development of Hepatocellular Carcinoma

摘要

BackgroundPredictive models for hepatocellular carcinoma (HCC) have been limited by modest accuracy and lack of validation. Machine learning algorithms offer a novel methodology, which may improve HCC risk prognostication among patients with cirrhosis. Our study's aim was to develop and compare predictive models for HCC development among cirrhotic patients, using conventional regression analysis and machine learning algorithms.