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This paper presents ClaMPAPP, a hybrid architecture that uses an LLM as an interface to extract features from clinical narratives, which are then passed to an XGBoost classifier for pediatric appendicitis diagnosis, demonstrating improved robustness and safety over end-to-end LLM baselines.