Researchers employed a machine learning technique known as random forest analysis and found that it significantly outperformed traditional methods in predicting which hospitalized patients with cirrhosis are at risk of death, according to a paper published in Gastroenterology.
AI predicts outcomes in hospitalized cirrhosis patients
