Predicting gallstones risk with body composition analysis and machine learning: a dual-center cohort study
Abstract Background To compare the predictive performance of computed tomography (CT) body composition indices, anthropometric indices, and laboratory indices for gallstones occurrence, and to construct machine-learning models to improve performance. Methods The dual-center retrospective cohort enrolled patients who un...