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Decision tree algorithm for NAFLD in children with obesity developed by machine learning via classification and regression tree modeling. The tree separates by sex (nodes 1 and 2), then by ALT U/L (nodes 3–9) and then by fasting insulin uU/ml (nodes 10–14). Each node shows the separation of NAFLD and not NAFLD based upon the specific parameters by total number and percentage.
