Predictive analysis of construction accident outcomes using explainable artificial intelligence and evidence fusion techniques
An integrated framework for construction accident outcome analysis is developed that combines predictive modeling, SHAP-based feature attribution, Direct-LiNGAM-based causal discovery, and modified D-S evidence fusion, providing a traceable basis for identifying prediction-relevant risk factors and upstream causal driv...