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Construction of a depression risk prediction model for hepatitis B patients based on machine learning strategy

Fig 2

Top 20 important features selected by random forest algorithm.

Features are ordered by importance score (mean decrease in Gini impurity). Key categories include liver function markers (LBXSTB, LBXSAPSI), electrolytes (LBXSKSI, LBXSCA, LBDSCASI), hematological/inflammatory indices (LBXHGB, LBXMC, LBXMCHSI, LBXRBCSI, LBXRDW, lymphocyte count, platelet count), and socioeconomic factors (RIDRETH1, INDFMPIR). Abbreviations follow NHANES variable naming conventions.

Fig 2

doi: https://doi.org/10.1371/journal.pone.0341236.g002