A Neuro-Symbolic Clinical Agent for cardiovascular risk stratification: Integrating stacking ensembles with simulation-augmented reasoning

This research presents a Neuro-Symbolic Clinical Agent for cardiovascular risk assessment that integrates ensemble machine learning with tightly coupled counterfactual simulation and targeted guideline retrieval. The framework is trained and validated on the CAIR-CVD-2025 dataset using a hybrid stac...

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Detalhes bibliográficos

Principais autores:	Youssef Ait Bigane, Fatima-Ezzahraa Ben-Bouazza, Aymane Edder, Ilyass Emssaad, Djeneba Sangare, Oumaima Manchadi, Bassma Jioudi
Formato:	Artigo
Idioma:	Inglês
Publicado em:	Elsevier 2026-06-01
coleção:	Informatics in Medicine Unlocked
Assuntos:	Cardiovascular risk prediction Neuro-symbolic AI Stacking ensemble SHAP Counterfactual simulation Agentic RAG
Acesso em linha:	http://www.sciencedirect.com/science/article/pii/S2352914826000304
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