Machine Learning Model Shows Promise for Predicting Liver Cancer Risk in Young Adults

Researchers used nationwide health screening data and developed and validated traditional and machine learning models to predict the risk for early-onset hepatocellular carcinoma (HCC) in young adults.

They found that an advanced boosted survival model performed best and that the main risk factors were viral hepatitis, prior non-liver cancer, cirrhosis, and abnormal liver and kidney tests.

Most existing risk prediction models for HCC focus predominantly on older populations and specific etiologies such as hepatitis B or C virus infection, metabolic dysfunction-associated steat