Machine-learning methodologies to predict disease progression in chronic hepatitis B in Africa.

Background: Little is known about the determinants of disease progression among African patients with chronic HBV infection.

Methods: We used machine-learning models with longitudinal data to establish predictive algorithms in a well-characterized cohort of Ethiopian HBV-infected patients without baseline liver fibrosis. Disease progression was defined as an increase in liver stiffness to >7.