MLPTR-CC: Multi-label Pathology Test Recommendation using Classifier Chains and SHAP
An AI-based framework that applies classifier chains with logistic regression, decision trees, random forests, and their ensemble to capture label dependencies between tests is proposed, demonstrating that classifier chains combined with SHAP offer an effective and interpretable approach for multi-label pathology test...