Predictive modeling of pediatric drug-induced liver injury: Dynamic classifier selection with clustering analysis

The integration of clustering analysis with dynamic classifier selection has demonstrated efficacy in complex real-world clinical settings. This methodology provides a more robust, precise, and clinically adaptable framework for patient stratification and drug safety surveillance.