Comparison and development of advanced machine learning tools to predict nonalcoholic fatty liver disease: An extended study

BACKGROUND: Nonalcoholic fatty liver disease (NAFLD) is a public health challenge and significant cause of morbidity and mortality worldwide. Early identification is crucial for disease intervention. We recently proposed a nomogram-based NAFLD prediction model from a large population cohort. We aimed to explore machine learning tools in predicting NAFLD. METHODS: A retrospective cross-sectional study was performed on 15 315 Chinese subjects (10 …