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The paper presents a two-part study using machine learning on large-scale telehealth data to classify self-reported chronic kidney disease status and identify key psychosocial and medical predictors, achieving balanced accuracy around 72-76% with SHAP analysis for interpretability.
This study uses econometric models and machine learning (SHAP analysis) to examine how green finance reduces carbon intensity across 285 Chinese cities, finding heterogeneous effects by city tier and financial instrument, with green bonds and investment being most impactful.